The Internet of Things for Logistics: Perspectives, Application Review, and Challenges

References

• M. Kannegiesser, Value Chain Management in the Chemical Industry: Global Value Chain Planning of Commodities, ser. Contributions to Management Science. Heidelberg: Physica-Verlag HD, 2008.
   Google Scholar
• D. M. Z. Islam, J. F. Meier, P. T. Aditjandra, T. H. Zunder, and G. Pace, “Logistics and supply chain management,” Research in Transportation Economics, Vol. 41, no. 1, pp. 3–16, 2013. An Intensive Programme in Railway and Logistics. doi:https://doi.org/10.1016/j.retrec.2012.10.006
   Web of Science ®Google Scholar
• H. Tran-Dang, “3D spatial modeling of stacked containers based on wireless sensor network: Application to the Physical Internet," Ph.D. dissertation, University of Lorraine, Nancy, France, 2017.
   Google Scholar
• W. J. Pienaar, W. J. Pienaar, and J. J. Vogt, Business Logistics Management: A Value Chain Perspective. Oxford University Press, 2012.
   Google Scholar
• D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi, Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies, ser. Irwin/McGraw-Hill series in operations and decision sciences. New York: McGraw-Hill/Irwin, 2003.
   Google Scholar
• Y. Xie, and C. Allen, “Information technologies in retail supply chains: A comparison of TESCO and ASDA,” International Journal of Business Performance and Supply Chain Modelling, Vol. 5, no. 1, pp. 46–62, 2013, PMID: 51648. doi:https://doi.org/10.1504/IJBPSCM.2013.051648
   Google Scholar
• S. Li, and B. Lin, “Accessing information sharing and information quality in supply chain management,” Decis. Support. Syst., Vol. 42, no. 3, pp. 1641–1656, 2006. doi:https://doi.org/10.1016/j.dss.2006.02.011
   Web of Science ®Google Scholar
• H. L. Lee, and S. Whang, “Information sharing in a supply chain,” Int. J. Manuf. Technol. Manage., Vol. 1, no. 1, pp. 79–93, 2000. doi:https://doi.org/10.1504/IJMTM.2000.001329
   Google Scholar
• L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Comput. Netw., Vol. 54, no. 15, pp. 2787–2805, 2010. doi:https://doi.org/10.1016/j.comnet.2010.05.010
   Web of Science ®Google Scholar
• K. Rose, S. Eldridge, and L. Chapin, “The internet of things: An overview,” The Internet Society (ISOC), Vol. 8, pp. 1–50, 2015.
   Google Scholar
• G. G. Meyer, K. Framling, and J. Holmstrom, “Intelligent products: A survey,” Comput. Ind., Vol. 60, no. 3, pp. 137–148, 2009. doi:https://doi.org/10.1016/j.compind.2008.12.005
   Web of Science ®Google Scholar
• G. Fortino, and P. Trunfio, Internet of Things Based on Smart Objects: Technology, Middleware and Applications. Rende: Springer Publishing Company, Incorporated, 2014.
   Google Scholar
• P. Tadejko, “Application of internet of things in logistics – current challenges,” Economics and Management, Vol. 7, no. 4, pp. 54–64, 2015.
   Google Scholar
• S. Haller, S. Karnouskos, and C. Schroth, “The Internet of Things in an enterprise context,” in Future Internet – FIS 2008, J. Domingue, D. Fensel, and P. Traverso, Eds. Berlin: Springer Berlin Heidelberg, 2009, pp. 14–28.
   Google Scholar
• G. C. James Macaulay, and Lauren Buckalew, “Internet of things in logistics: A collaborative report by DHL and CISCO on implications and use cases for the logistics industry,” DHL Customer Solutions & Innovation, Troisdorf, Germany, 2015.
   Google Scholar
• H. Sternberg, and A. Norrman, “The physical internet – review, analysis and future research agenda,” Int. J. Phys. Distrib. Logist. Manage., Vol. 47, no. 8, pp. 736–762, 2017. doi:https://doi.org/10.1108/IJPDLM-12-2016-0353
   Web of Science ®Google Scholar
• M. Hulsmann, and K. Windt. Understanding Autonomous Cooperation and Control in Logistics: The Impact of Autonomy on Management, Information, Communication and Material Flow. Heidelberg: Springer Berlin Heidelberg, 2007.
   Google Scholar
• J. J. B. D. D. Eisenstein, and Y. F. Lim, “Self-organizing logistics systems,” Annu. Rev. Control., Vol. 34, no. 1, pp. 111–117, 2010. doi:https://doi.org/10.1016/j.arcontrol.2010.02.006
   Web of Science ®Google Scholar
• T. G. Crainic, M. Gendreau, and J.-Y. Potvin, “Intelligent freight-transportation systems: Assessment and the contribution of operations research,” Transp. Res. C, Emerg. Technol., Vol. 17, no. 6, pp. 541–557, 2009. doi:https://doi.org/10.1016/j.trc.2008.07.002
   Web of Science ®Google Scholar
• A. E. C. Mondragon, C. S. Lalwani, E. S. C. Mondragon, C. E. C. Mondragon, and K. S. Pawar, “Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location,” Int. J. Prod. Econ., Vol. 137, no. 1, pp. 165–175, 2012. doi:https://doi.org/10.1016/j.ijpe.2011.11.006
   Web of Science ®Google Scholar
• L. Zhou, and C. X. Lou, “Intelligent cargo tracking system based on the internet of things,” in 15th international Conference on network based information systems, Sep. 2012, pp. 489–493.
   Google Scholar
• J. Schumacher, M. Rieder, M. Gschweidl, and P. Masser, Intelligent Cargo - Using Internet of Things Concepts to Provide High Interoperability for Logistics Systems. Berlin: Springer Berlin Heidelberg, 2011, pp. 317–347.
   Google Scholar
• M. Forcolin, E. Fracasso, F. Tumanischvili, and P. Lupieri, “Euridice-IoT applied to logistics using the intelligent cargo concept,” in 2011 17th international Conference on Concurrent Enterprising, Jun. 2011, pp. 1–9.
   Google Scholar
• W. Lang, and R. Jedermann, “What can MEMS do for logistics of food? intelligent container technologies: A review,” IEEE Sensors J., Vol. 16, no. 18, pp. 6810–6818, Sep. 2016. doi:https://doi.org/10.1109/JSEN.2016.2576287
   Web of Science ®Google Scholar
• Y. Zhang, B. Chen, and X. Lu, “Intelligent monitoring system on refrigerator trucks based on the Internet of Things,” in Wireless Communications and Applications, P. Senac, M. Ott, and A. Seneviratne, Eds. Berlin: Springer Berlin Heidelberg, 2012, pp. 201–206.
   Google Scholar
• D. Uckelmann, “A definition approach to smart logistics,” in Next Generation Teletraffic and Wired/Wireless Advanced Networking. NEW2AN 2008. Lecture Notes in Computer Science, Vol. 5174, S. Balandin, D. Moltchanov, and Y. Koucheryavy, Eds. Berlin: Springer, 2008.
   Google Scholar
• R. Jedermann, T. Potsch, and W. Lang, “Smart sensors for the intelligent container (poster),” in Proc. of European Conference on smart objects, systems and technologies (smart SysTech), 2014.
   Google Scholar
• S. Cosimato, and O. Troisi, “Green supply chain management: Practices and tools for logistics competitiveness and sustainability, the DHL case study,” The TQM Journal, Vol. 27, no. 2, pp. 256–276, 2015. doi:https://doi.org/10.1108/TQM-01-2015-0007
   Google Scholar
• R. Dekker, J. Bloemhof, and I. Mallidis, “Operations research for green logistics - an overview of aspects, issues, contributions and challenges,” Eur. J. Oper. Res., Vol. 219, no. 3, pp. 671–679, 2012. Feature Clusters. doi:https://doi.org/10.1016/j.ejor.2011.11.010
   Web of Science ®Google Scholar
• P. Trowbridge, “A case study of green supply chain management at advanced micro devices,” in Greening the Supply Chain. London: Springer, 2006, pp. 307–322.
   Google Scholar
• M. Thiell, J. P. S. Zuluaga, J. P. M. Montanez, and B. van Hoof, “Green logistics: Global practices and their implementation in emerging markets,” in Green Finance and Sustainability: Environmentally-Aware Business Models and Technologies. Hershey, PA: IGI Global, 2011, pp. 334–357.
   Google Scholar
• A. Mckinnon, S. Cullinane, M. Browne, and A. Whiteing, “Green logistics: Improving the environmental sustainability of logistics. londres, Philadelphia,” Nova Delhi. Kogan Page, Vol. 1, pp. 372, 2010.
   Google Scholar
• O. Seroka-Stolka, “The development of green logistics for implementation sustainable development strategy in companies,” Procedia - Social and Behavioral Sciences, Vol. 151, pp. 302–309, 2014. Green Cities – Green Logistics for Greener Cities, Szczecin, May 19-21. doi:https://doi.org/10.1016/j.sbspro.2014.10.028
   Google Scholar
• A. Sbihi, and R. W. Eglese, “Combinatorial optimization and green logistics,” Ann. Oper. Res., Vol. 175, no. 1, pp. 159–175, 2010. doi:https://doi.org/10.1007/s10479-009-0651-z
   Web of Science ®Google Scholar
• V. Tamulis, A. Guzavicius, and L. Zalgiryte, “Factors influencing the use of green logistics: Theoretical implications,” Economics and Management, Vol. 17, no. 2, pp. 706–711, 2012. doi:https://doi.org/10.5755/j01.em.17.2.2202
   Google Scholar
• J. Freis, P. Vohlidka, and W. A. Gunthner, “Low-carbon warehousing: Examining impacts of building and intra-logistics design options on energy demand and the CO2 emissions of logistics centers,” Sustainability, Vol. 8, no. 5, p. 448, 2016. doi:https://doi.org/10.3390/su8050448
   Web of Science ®Google Scholar
• S. Dharmadhikari, “Eco-friendly packaging in supply chain,” IUP Journal of Supply Chain Management, Vol. 9, no. 2, pp. 7, 2012.
   Google Scholar
• M. Lu, R. Xie, P. Chen, Y. Zou, and J. Tang, “Green transportation and logistics performance: An improved composite index,” Sustainability, Vol. 11, no. 10, pp. 1–17, 2019.
   Web of Science ®Google Scholar
• F. Russo, and A. Comi, “Urban freight transport planning towards green goals: Synthetic environmental evidence from tested results,” Sustainability, Vol. 8, no. 4, p. 381, 2016. doi:https://doi.org/10.3390/su8040381
   Web of Science ®Google Scholar
• D. Stas, R. Lenort, P. Wicher, and D. Holman, “Green transport balanced scorecard model with analytic network process support,” Sustainability, Vol. 7, no. 11, pp. 15243–15261, 2015. doi:https://doi.org/10.3390/su71115243
   Web of Science ®Google Scholar
• C. Georgopoulou, N. M. P. Kakalis, H. N. P. Psaraftis, V. Recagno, S. Fozza, P. Zacharioudakis, and A. Eiband, “Green technologies and smart ict for sustainable freight transport,” in Efficiency and Innovation in Logistics, U. Clausen, M. ten Hompel, and J. F. Meier, Eds. Cham: Springer International Publishing, 2014, pp. 15–33.
   Google Scholar
• T.-Y. Liao, “Reverse logistics network design for product recovery and remanufacturing,” Appl. Math. Model., Vol. 60, pp. 145–163, 2018. doi:https://doi.org/10.1016/j.apm.2018.03.003
   Web of Science ®Google Scholar
• H. Prajapati, R. Kant, and R. Shankar, “Bequeath life to death: State-of-art review on reverse logistics,” J. Cleaner Prod., Vol. 211, pp. 503–520, 2019. doi:https://doi.org/10.1016/j.jclepro.2018.11.187
   Web of Science ®Google Scholar
• N. Zarbakhshnia, H. Soleimani, M. Goh, and S. S. Razavi, “A novel multi-objective model for green forward and reverse logistics network design,” J. Cleaner Prod., Vol. 208, pp. 1304–1316, 2019. doi:https://doi.org/10.1016/j.jclepro.2018.10.138
   Web of Science ®Google Scholar
• D. S. Rogers, and R. Tibben-Lembke, “An examination of reverse logistics practices,” J. Bus. Logist., Vol. 22, no. 2, pp. 129–148, 2001. doi:https://doi.org/10.1002/j.2158-1592.2001.tb00007.x
   Google Scholar
• H. Rachih, F. Z. Mhada, and R. Chiheb, “Meta-heuristics for reverse logistics: A literature review and perspectives,” Comput. Ind. Eng., Vol. 127, pp. 45–62, 2019. doi:https://doi.org/10.1016/j.cie.2018.11.058
   Web of Science ®Google Scholar
• A. Rushton, P. Croucher, and P. Baker, Eds., The Handbook of Logistics and Distribution Management, fourth edition ed. London: Kogan Page, 7 2010.
   Google Scholar
• B. Montreuil, “Toward a physical internet: Meeting the global logistics sustainability grand challenge,” Logistics Research, Vol. 3, no. 2, pp. 71–87, 2011. doi:https://doi.org/10.1007/s12159-011-0045-x
   Google Scholar
• B. Montreuil, R. D. Meller, and E. Ballot, “Physical internet foundations,” IFAC Proceedings Volumes, Vol. 45, no. 6, pp. 26–30, 2012. 14th IFAC Symposium on Information Control Problems in Manufacturing. doi:https://doi.org/10.3182/20120523-3-RO-2023.00444
   Google Scholar
• E. Ballot, B. Montreuil, and R. Meller, The Physical Internet: The Network of Logistics Networks. Paris: La Documentation. Française, 2014.
   Google Scholar
• R. D. Meller, Y.-H. Lin, and K. P. Ellis, “The impact of standardized metric physical internet containers on the shipping volume of manufacturers,” IFAC Proceedings Volumes, Vol. 45, no. 6, pp. 364–371, 2012. doi:https://doi.org/10.3182/20120523-3-RO-2023.00282
   Google Scholar
• R. D. M. Montreuil, and E. Ballot, “Towards a physical internet: The impact on logistics facilities and material handling systems design and innovation,” in Progress in material handling research, Edited by K. Gue et al., material handling industry of America, 2010, pp. 23.
   Google Scholar
• M. AliUlku, “Dare to care: Shipment consolidation reduces not only costs, but also environmental damage,” Int. J. Prod. Econ., Vol. 139, no. 2, pp. 438–446, 2012. Compassionate Operations. doi:https://doi.org/10.1016/j.ijpe.2011.09.015
   Web of Science ®Google Scholar
• K. Kang, K.-s. Hong, K. H. Kim, and C. Lee, “Shipment consolidation policy under uncertainty of customer order for sustainable supply chain management,” Sustainability, Vol. 9, pp. 1675–1692, 2017.
   PubMed Web of Science ®Google Scholar
• U. Venkatadri, K. S. Krishna, and M. A. Ulku, “On physical internet logistics: Modeling the impact of consolidation on transportation and inventory costs,” IEEE Trans. Autom. Sci. Eng., Vol. 13, no. 4, pp. 1517–1527, Oct. 2016. doi:https://doi.org/10.1109/TASE.2016.2590823
   Web of Science ®Google Scholar
• K. Kant, and A. Pal, “Internet of perishable logistics,” IEEE Internet Comput., Vol. 21, no. 1, pp. 22–31, Jan. 2017. doi:https://doi.org/10.1109/MIC.2017.19
   Web of Science ®Google Scholar
• A. Pal, and K. Kant, “A food transportation framework for an efficient and worker-friendly fresh food physical internet,” Logistics, Vol. 1, no. 2, pp. 10–31, 2017.
   Google Scholar
• A. I. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols, and applications,” IEEE Commun. Surv. Tutorials, Vol. 17, pp. 2347–2376, 2015. doi:https://doi.org/10.1109/COMST.2015.2444095
   Web of Science ®Google Scholar
• J.-P. Vasseur and A. Dunkels, “Chapter 4 - ipv6 for smart object networks and the internet of things,” in Interconnecting Smart Objects with IP, J.-P. Vasseur and A. Dunkels, Eds. Boston, MA: Morgan Kaufmann, 2010, pp. 39–49.
   Google Scholar
• Z. Song, A. A. Cardenas, and R. Masuoka, “Semantic middleware for the internet of things,” in 2010 Internet of things (IOT), Nov. 2010, pp. 1–8.
   Google Scholar
• P. Barnaghi, W. Wang, C. Henson, and K. Taylor, “Semantics for the Internet of things: Early progress and back to the future,” Int. J. Semant. Web Inf. Syst., Vol. 8, no. 1, pp. 1–21, Jan. 2012. doi:https://doi.org/10.4018/jswis.2012010101
   Web of Science ®Google Scholar
• A. Colakovic, and M. Hadzialic, “Internet of things (IoT): A review of enabling technologies, challenges, and open research issues,” Comput. Netw., Vol. 144, pp. 17–39, 2018. doi:https://doi.org/10.1016/j.comnet.2018.07.017
   Web of Science ®Google Scholar
• D. Bandyopadhyay, and J. Sen, “Internet of things: Applications and challenges in technology and standardization,” Wirel. Pers. Commun., Vol. 58, no. 1, pp. 49–69, May 2011. doi:https://doi.org/10.1007/s11277-011-0288-5
   Web of Science ®Google Scholar
• L. Tan, and N. Wang, “Future internet: The internet of things,” 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Vol. 5, pp. V5-376–V5-380, Aug. 2010.
   Google Scholar
• M. Asim, “A survey on application layer protocols for internet of things (iot),” International Journal of Advanced Research in Computer Science, Vol. 8, no. 3, pp. 996–1000, 2017.
   Google Scholar
• M. C. Domingo, “An overview of the internet of things for people with disabilities,” J. Netw. Comput. Appl., Vol. 35, no. 2, pp. 584–596, 2012. Simulation and Testbeds. doi:https://doi.org/10.1016/j.jnca.2011.10.015
   Web of Science ®Google Scholar
• N. B. Long, H. Tran-Dang, and D. Kim, “Energy-aware real-time routing for large-scale industrial internet of things,” IEEE Internet Things J., Vol. 5, no. 3, pp. 2190–2199, Jun. 2018. doi:https://doi.org/10.1109/JIOT.2018.2827050
   Web of Science ®Google Scholar
• “Iot 2020: Smart and secure IoT platform,” International Electrotechnical Commission, 2016.
   Google Scholar
• C. H. Liu, B. Yang, and T. Liu, “Efficient naming, addressing and profile services in internet-of-things sensory environments,” Ad. Hoc. Netw., Vol. 18, pp. 85–101, 2014. doi:https://doi.org/10.1016/j.adhoc.2013.02.008
   Web of Science ®Google Scholar
• L. D. Xu, W. He, and S. Li, “Internet of things in industries: A survey,” IEEE Trans. Ind. Inf., Vol. 10, no. 4, pp. 2233–2243, Nov. 2014.
   Web of Science ®Google Scholar
• D. Miorandi, S. Sicari, F. D. Pellegrini, and I. Chlamtac, “Internet of things: Vision, applications and research challenges,” Ad. Hoc. Netw., Vol. 10, no. 7, pp. 1497–1516, 2012. doi:https://doi.org/10.1016/j.adhoc.2012.02.016
   Web of Science ®Google Scholar
• J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (IoT): A vision, architectural elements, and future directions,” Future Gener. Comput. Syst., Vol. 29, no. 7, pp. 1645–1660, 2013. doi:https://doi.org/10.1016/j.future.2013.01.010
   Web of Science ®Google Scholar
• B. Ahlgren, M. Hidell, and E. C. Ngai, “Internet of things for smart cities: Interoperability and open data,” IEEE Internet Comput., Vol. 20, no. 6, pp. 52–56, Nov. 2016. doi:https://doi.org/10.1109/MIC.2016.124
   Web of Science ®Google Scholar
• P. A. Laplante, and N. Laplante, “The internet of things in healthcare: Potential applications and challenges,” IT. Prof., Vol. 18, no. 3, pp. 2–4, May 2016. doi:https://doi.org/10.1109/MITP.2016.42
   Web of Science ®Google Scholar
• P. Ray, “A survey on internet of things architectures,” Journal of King Saud University - Computer and Information Sciences, Vol. 30, no. 3, pp. 291–319, 2018. doi:https://doi.org/10.1016/j.jksuci.2016.10.003
   Web of Science ®Google Scholar
• I. C. Ng, and S. Y. Wakenshaw, “The internet-of-things: Review and research directions,” International Journal of Research in Marketing, Vol. 34, no. 1, pp. 3–21, 2017. doi:https://doi.org/10.1016/j.ijresmar.2016.11.003
   Web of Science ®Google Scholar
• A. A. Pflaum, and P. Golzer, “The iot and digital transformation: Toward the data-driven enterprise,” IEEE Pervasive Comput., Vol. 17, no. 1, pp. 87–91, Jan. 2018. doi:https://doi.org/10.1109/MPRV.2018.011591066
   Web of Science ®Google Scholar
• H. Tran-Dang, N. Krommenacker, P. Charpentier, and D. Kim, “Towards the Internet of things for physical Internet: Perspectives and challenges,” in IEEE Internet of Things Journal. DOI: https://doi.org/10.1109/JIOT.2020.2971736.
   Web of Science ®Google Scholar
• N. I. M. I. M. M. K. I. Naohisa, “Assets location management solution based on the combination of smartlocator and RFID,” NEC Tech. J., Vol. 1, pp. 92–96, 2006.
   Google Scholar
• J.-r. Zhou, H.-j. Zhang, and H.-l. Zhou, “Localization of pallets in warehouses using passive RFID system,” Journal of Central South University, Vol. 22, no. 8, pp. 3017–3025, 2015. doi:https://doi.org/10.1007/s11771-015-2838-6
   Web of Science ®Google Scholar
• J. Maneesilp, C. Wang, H. Wu, and N. Tzeng, “RFID support for accurate 3D localization,” IEEE Trans. Comput., Vol. 62, no. 7, pp. 1447–1459, Jul. 2013. doi:https://doi.org/10.1109/TC.2012.83
   Web of Science ®Google Scholar
• F. Thiesse, M. Dierkes, and E. Fleisch, “Lottrack: RFID-based process control in the semiconductor industry,” IEEE Pervasive Comput., Vol. 5, no. 1, pp. 47–53, Jan. 2006. doi:https://doi.org/10.1109/MPRV.2006.9
   Web of Science ®Google Scholar
• M. K. Lim, W. Bahr, and S. C. Leung, “RFID in the warehouse: A literature analysis (1995-2010) of its applications, benefits, challenges and future trends,” Int. J. Prod. Econ., Vol. 145, no. 1, pp. 409–430, 2013. doi:https://doi.org/10.1016/j.ijpe.2013.05.006
   Web of Science ®Google Scholar
• X. Wang, O. Bischoff, R. Laur, and S. Paul, “Localization in wireless ad-hoc sensor networks using multilateration with rssi for logistic applications,” Procedia. Chem., Vol. 1, no. 1, pp. 461–464, 2009. doi:https://doi.org/10.1016/j.proche.2009.07.115
   Google Scholar
• X. Wang, S. Yuan, R. Laur, and W. Lang, “Dynamic localization based on spatial reasoning with RSSI in wireless sensor networks for transport logistics,” Sens. Actuators, A, Vol. 171, no. 2, pp. 421–428, 2011. doi:https://doi.org/10.1016/j.sna.2011.08.015
   Web of Science ®Google Scholar
• A. Wessels, X. Wang, R. Laur, and W. Lang, “Dynamic indoor localization using multilateration with RSSI in wireless sensor networks for transport logistics,” Procedia. Eng., Vol. 5, pp. 220–223, 2010. doi:https://doi.org/10.1016/j.proeng.2010.09.087
   Google Scholar
• W. Lang, R. Jedermann, D. Mrugala, A. Jabbari, B. Krieg-Bruckner, and K. Schill, “The “Intelligent Container” – A cognitive sensor network for transport management,” IEEE Sensors J., Vol. 11, no. 3, pp. 688–698, Mar. 2011. doi:https://doi.org/10.1109/JSEN.2010.2060480
   Web of Science ®Google Scholar
• D. Christin, A. Reinhardt, P. Mogre, and R. Steinmetz, “Wireless sensor networks and the internet of things: Selected challenges,” Structural Health Monitoring, Vol. 5970, pp. 31–34, 2009.
   Google Scholar
• J. W. Hui, and D. E. Culler, “IPv6 in low-power wireless networks,” Proc. IEEE, Vol. 98, no. 11, pp. 1865–1878, Nov. 2010. doi:https://doi.org/10.1109/JPROC.2010.2065791
   Web of Science ®Google Scholar
• F. Khoshnoud, and C. W. de Silva, “Recent advances in mems sensor technology-mechanical applications,” IEEE Instrumentation Measurement Magazine, Vol. 15, no. 2, pp. 14–24, Apr. 2012. doi:https://doi.org/10.1109/MIM.2012.6174574
   Web of Science ®Google Scholar
• F. Khoshnoud, and C. W. de Silva, “Recent advances in MEMS sensor technology – biomedical applications,” IEEE Instrumentation Measurement Magazine, Vol. 15, no. 1, pp. 8–14, Feb. 2012. doi:https://doi.org/10.1109/MIM.2012.6145254
   Web of Science ®Google Scholar
• F. Khoshnoud, and C. W. de Silva, “Recent advances in MEMS sensor technology – thermo-fluid and electro-magnetic devices,” IEEE Instrumentation Measurement Magazine, Vol. 15, no. 3, pp. 16–20, Jun. 2012. doi:https://doi.org/10.1109/MIM.2012.6204868
   Web of Science ®Google Scholar
• Y. Mehmood, C. Gorg, M. Muehleisen, and A. Timm-Giel, “Mobile M2M communication architectures, upcoming challenges, applications, and future directions,” EURASIP J. Wirel. Commun. Netw., Vol. 2015, no. 1, pp. 250, Nov. 2015. doi:https://doi.org/10.1186/s13638-015-0479-y
   Web of Science ®Google Scholar
• Y. Mehmood, S. N. K. Marwat, K. Kuladinithi, A. Forster, Y. Zaki, C. Gorg, and A. Timm-Giel, “M2m potentials in logistics and transportation industry,” Logistics Research, Vol. 9, no. 1, pp. 15, Jul. 2016. doi:https://doi.org/10.1007/s12159-016-0142-y
   Google Scholar
• H. L. Lee and S. Whang, “e-Business and supply chain integration,” in The Practice of Supply Chain Management: Where Theory and Application Converge. International Series in Operations Research & Management Science, Vol. 62. Boston, MA: Springer, 2004, pp. 123–138.
   Google Scholar
• A. Gandomi, and M. Haider, “Beyond the hype: Big data concepts, methods, and analytics,” Int. J. Inf. Manage., Vol. 35, no. 2, pp. 137–144, 2015. doi:https://doi.org/10.1016/j.ijinfomgt.2014.10.007
   Web of Science ®Google Scholar
• M. t. Hompel, J. Rehof, and O. Wolf. Cloud computing for Logistics. Dortmund: Springer Publishing Company, Incorporated, 2014.
   Google Scholar
• L. Novais, J. M. Maqueira, and A. Ortiz-Bas, “A systematic literature review of cloud computing use in supply chain integration,” Comput. Ind. Eng., Vol. 129, pp. 296–314, 2019. doi:https://doi.org/10.1016/j.cie.2019.01.056
   Web of Science ®Google Scholar
• K. Kasemsap, “Adopting cloud computing in global supply chain: A literature review,” Int. J. Soc. Organ. Dyn., Vol. 4, no. 2, pp. 49–62, Jul. 2015.
   Google Scholar
• G. Niharika, and V. Ritu, “Cloud architecture for the logistics business,” Procedia. Comput. Sci., Vol. 50, pp. 414–420, 2015. big Data, Cloud and Computing Challenges. doi:https://doi.org/10.1016/j.procs.2015.04.013
   Google Scholar
• D. Graham, I. Manikas, and D. Folinas. E-Logistics and E-Supply Chain Management: Applications for Evolving Business, ser. Gale virtual reference library. IGI Global, 2013.
   Google Scholar
• Z. Guo, E. Ngai, C. Yang, and X. Liang, “An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment,” Int. J. Prod. Econ., Vol. 159, pp. 16–28, 2015. doi:https://doi.org/10.1016/j.ijpe.2014.09.004
   Web of Science ®Google Scholar
• A. Botta, W. de Donato, V. Persico, and A. Pescape, “Integration of cloud computing and internet of things: A survey,” Future Gener. Comput. Syst., Vol. 56, pp. 684–700, 2016. doi:https://doi.org/10.1016/j.future.2015.09.021
   Web of Science ®Google Scholar
• I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, and S. U. Khan, “The rise of “big data” on cloud computing: Review and open research issues,” Inf. Syst., Vol. 47, pp. 98–115, 2015. doi:https://doi.org/10.1016/j.is.2014.07.006
   Web of Science ®Google Scholar
• N. Elgendy, and A. Elragal, “Big data analytics in support of the decision making process,” Procedia. Comput. Sci., Vol. 100, pp. 1071–1084, 2016. international Conference on Enterprise Information Systems/International Conference on Project Management/International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2016. doi:https://doi.org/10.1016/j.procs.2016.09.251
   Google Scholar
• G. Wang, A. Gunasekaran, E. W. Ngai, and T. Papadopoulos, “Big data analytics in logistics and supply chain management: Certain investigations for research and applications,” Int. J. Prod. Econ., Vol. 176, pp. 98–110, 2016. doi:https://doi.org/10.1016/j.ijpe.2016.03.014
   Web of Science ®Google Scholar
• M. Brinch, J. Stentoft, J. K. Jensen, and C. Rajkumar, “Practitioners understanding of big data and its applications in supply chain management,” The International Journal of Logistics Management, Vol. 29, no. 2, pp. 555–574, 2018. doi:https://doi.org/10.1108/IJLM-05-2017-0115
   Web of Science ®Google Scholar
• M. Bahrami, and M. Singhal, The Role of Cloud Computing Architecture in Big Data. Cham: Springer International Publishing, 2015, pp. 275–295.
   Google Scholar
• J. Hopkins, and P. Hawking, “Big data analytics and IOT in logistics: A case study,” The International Journal of Logistics Management, Vol. 29, no. 2, pp. 575–591, 2018. doi:https://doi.org/10.1108/IJLM-05-2017-0109
   Web of Science ®Google Scholar
• P. Hu, S. Dhelim, H. Ning, and T. Qiu, “Survey on fog computing: Architecture, key technologies, applications and open issues,” J. Netw. Comput. Appl., Vol. 98, pp. 27–42, 2017. doi:https://doi.org/10.1016/j.jnca.2017.09.002
   Web of Science ®Google Scholar
• Y. Ai, M. Peng, and K. Zhang, “Edge computing technologies for internet of things: A primer,” Digital Communications and Networks, Vol. 4, no. 2, pp. 77–86, 2018. doi:https://doi.org/10.1016/j.dcan.2017.07.001
   Web of Science ®Google Scholar
• H. Tran-Dang, N. Krommenacker, and P. Charpentier, “Containers monitoring through the physical internet: A spatial 3d model based on wireless sensor networks,” Int. J. Prod. Res., Vol. 55, no. 9, pp. 2650–2663, 2017. doi:https://doi.org/10.1080/00207543.2016.1206220
   Web of Science ®Google Scholar
• Q. Zhu, R. Wang, Q. Chen, Y. Liu, and W. Qin, “IoT gateway: Bridging wireless sensor networks into internet of things,” in 2010 IEEE/IFIP international Conference on embedded and ubiquitous computing, Dec. 2010, pp. 347–352.
   Google Scholar
• B. Kang, D. Kim, and H. Choo, “Internet of everything: A large-scale autonomic IoT gateway,” IEEE Transactions on Multi-Scale Computing Systems, Vol. 3, no. 3, pp. 206–214, Jul. 2017. doi:https://doi.org/10.1109/TMSCS.2017.2705683
   Google Scholar
• F. Banaie, J. Misic, V. B. Misic, M. H. Yaghmaee Moghaddam, and S. A. Hosseini Seno, “Performance analysis of multithreaded IoT gateway,” IEEE Internet Things J., Vol. 6, no. 2, pp. 3143–3155, Apr. 2019. doi:https://doi.org/10.1109/JIOT.2018.2879467
   Web of Science ®Google Scholar
• F. Jalali, O. J. Smith, T. Lynar, and F. Suits, “Cognitive IoT gateways: Automatic task sharing and switching between cloud and edge/fog computing,” in Proceedings of the SIGCOMM Posters and Demos, ser. SIGCOMM Posters and Demos ‘17. New York, NY: ACM, 2017, pp. 121–123.
   Google Scholar
• F. L. d. C. Filho, L. M. C. e. Martins, I. P. Araujo, F. L. L. d. Mendonca, J. a. P. C. L. da Costa, and R. T. d. S. Junior, “Design and evaluation of a semantic gateway prototype for iot networks,” in In Companion Proceedings of the10th international Conference on Utility and cloud computing, ser. UCC ‘17 Companion. New York, NY: ACM, 2017, pp. 195–201.
   Google Scholar
• N. Saxena, A. Roy, B. J. R. Sahu, and H. Kim, “Efficient iot gateway over 5g wireless: A new design with prototype and implementation results,” IEEE Commun. Mag., Vol. 55, no. 2, pp. 97–105, Feb. 2017. doi:https://doi.org/10.1109/MCOM.2017.1600437CM
   Web of Science ®Google Scholar
• M. W. Condry, and C. B. Nelson, “Using smart edge IoT devices for safer, rapid response with industry iot control operations,” Proc. IEEE, Vol. 104, no. 5, pp. 938–946, May 2016. doi:https://doi.org/10.1109/JPROC.2015.2513672
   Web of Science ®Google Scholar
• D. C. Yacchirema Vargas, and C. E. Palau Salvador, “Smart IoT gateway for heterogeneous devices interoperability,” IEEE Latin Am. Trans., Vol. 14, no. 8, pp. 3900–3906, Aug. 2016. doi:https://doi.org/10.1109/TLA.2016.7786378
   Web of Science ®Google Scholar
• C. Chen, M. Lin, and C. Liu, “Edge computing gateway of the industrial internet of things using multiple collaborative microcontrollers,” IEEE Network, Vol. 32, no. 1, pp. 24–32, Jan. 2018. doi:https://doi.org/10.1109/MNET.2018.1700146
   Web of Science ®Google Scholar
• M. A. Razzaque, M. Milojevic-Jevric, A. Palade, and S. Clarke, “Middleware for internet of things: A survey,” IEEE Internet Things J., Vol. 3, no. 1, pp. 70–95, Feb. 2016. doi:https://doi.org/10.1109/JIOT.2015.2498900
   Web of Science ®Google Scholar
• S. A. Chelloug, and M. A. El-Zawawy, “Middleware for internet of things: Survey and challenges,” Intelligent Automation & Soft Computing, Vol. 0, no. 0, pp. 1–9, 2017.
   Web of Science ®Google Scholar
• S. Hachem, A. Pathak, and V. Issarny, “Service-Oriented middleware for the mobile Internet of things: A Scalable solution,” in IEEE GLOBECOM: Global communications Conference, Austin, TX, Dec. 2014.
   Google Scholar
• V. Issarny, et al., “Service-oriented middleware for the future internet: State of the art and research directions,” Journal of Internet Services and Applications, Vol. 2, no. 1, pp. 23–45, Jul. 2011. doi:https://doi.org/10.1007/s13174-011-0021-3
   Google Scholar
• M. Eisenhauer, P. Rosengren, and P. Antolin, “HYDRA: A development platform for integrating wireless devices and sensors into ambient intelligence systems,” in The Internet of Things, D. Giusto, A. Iera, G. Morabito, and L. Atzori, Eds. New York, NY: Springer, 2010, pp. 367–373.
   Google Scholar
• M. Eisenhauer, P. Rosengren, and P. Antolin, “A development platform for integrating wireless devices and sensors into ambient intelligence systems,” in 2009 6th IEEE Annual communications society Conference on sensor, mesh and Ad Hoc communications and networks Workshops, Jun. 2009, pp. 1–3.
   Google Scholar
• D. Kiritsis, “Closed-loop PLM for intelligent products in the era of the internet of things,” Computer-Aided Design, Vol. 43, no. 5, pp. 479–501, 2011. emerging Industry Needs for Frameworks and Technologies for Exchanging and Sharing Product Lifecycle Knowledge. doi:https://doi.org/10.1016/j.cad.2010.03.002
   Web of Science ®Google Scholar
• Y. Sallez, B. Montreuil, and E. Ballot, On the Activeness of Physical Internet Containers. Cham: Springer International Publishing, 2015, pp. 259–269.
   Google Scholar
• X. Hou, Y. Li, M. Chen, D. Wu, D. Jin, and S. Chen, “Vehicular fog computing: A viewpoint of vehicles as the infrastructures,” IEEE Trans. Veh. Technol., Vol. 65, no. 6, pp. 3860–3873, Jun. 2016. doi:https://doi.org/10.1109/TVT.2016.2532863
   Web of Science ®Google Scholar
• M. Sookhak, et al., “Fog vehicular computing: Augmentation of fog computing using vehicular cloud computing,” IEEE Veh. Technol. Mag., Vol. 12, no. 3, pp. 55–64, Sep. 2017. doi:https://doi.org/10.1109/MVT.2017.2667499
   Web of Science ®Google Scholar
• H. Tran-Dang, and D. Kim, “An information framework for internet of things services in physical internet,” IEEE. Access., Vol. 6, pp. 43967–43977, 2018. doi:https://doi.org/10.1109/ACCESS.2018.2864310
   Web of Science ®Google Scholar
• K. Zheng, Q. Zheng, P. Chatzimisios, W. Xiang, and Y. Zhou, “Heterogeneous vehicular networking: A survey on architecture, challenges, and solutions,” IEEE Communications Surveys Tutorials, Vol. 17, no. 4, pp. 2377–2396, Fourthquarter 2015. doi:https://doi.org/10.1109/COMST.2015.2440103
   Web of Science ®Google Scholar
• M. L. Sichitiu, and M. Kihl, “Inter-vehicle communication systems: A survey,” IEEE Communications Surveys Tutorials, Vol. 10, no. 2, pp. 88–105, Second 2008. doi:https://doi.org/10.1109/COMST.2008.4564481
   Web of Science ®Google Scholar
• Y. Wang, K. Venugopal, A. F. Molisch, and R. W. Heath, “Mmwave vehicle-to-infrastructure communication: Analysis of urban microcellular networks,” IEEE Trans. Veh. Technol., Vol. 67, no. 8, pp. 7086–7100, Aug. 2018. doi:https://doi.org/10.1109/TVT.2018.2827259
   Web of Science ®Google Scholar
• D. Jiang, L. Huo, Z. Lv, H. Song, and W. Qin, “A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking,” IEEE Trans. Intell. Transp. Syst., Vol. 19, no. 10, pp. 3305–3319, Oct. 2018. doi:https://doi.org/10.1109/TITS.2017.2778939
   Web of Science ®Google Scholar
• B. Yuanguo, X. S. Shen, and Z. Hai, “Explicit rate based transmission control scheme in vehicle-to-infrastructure communication networks,” China Commun., Vol. 11, no. 1, pp. 46–59, Jan. 2014. doi:https://doi.org/10.1109/CC.2014.6821307
   Web of Science ®Google Scholar
• W. Li, X. Hu, and T. Jiang, “Path loss models for IEEE 802.15.4 vehicle-to-infrastructure communications in rural areas,” IEEE Internet Things J., Vol. 5, no. 5, pp. 3865–3875, Oct. 2018. doi:https://doi.org/10.1109/JIOT.2018.2844879
   Web of Science ®Google Scholar
• E. Uhlemann, “Initial steps toward a cellular vehicle-to-everything standard [connected vehicles],” IEEE Veh. Technol. Mag., Vol. 12, no. 1, pp. 14–19, Mar. 2017. doi:https://doi.org/10.1109/MVT.2016.2641139
   Web of Science ®Google Scholar
• H. Tran-Dang, N. Krommenacker, and P. Charpentier, “Enhancing the functionality of physical Internet containers by wireless sensor networks,” in Second international physical Internet Conference, IPIC’2015, Paris, France, Jul. 2015.
   Google Scholar
• E. Di Pascale, I. Macaluso, A. Nag, M. Kelly, and L. Doyle, “The network as a computer: A framework for distributed computing over iot mesh networks,” IEEE Internet Things J., Vol. 5, no. 3, pp. 2107–2119, Jun. 2018. doi:https://doi.org/10.1109/JIOT.2018.2823978
   Web of Science ®Google Scholar
• H.-J. Cha, H.-K. Yang, and Y.-J. Song, “A study on the design of fog computing architecture using sensor networks,” Sensors, Vol. 18, pp. 3633–3649, 2018.
   Web of Science ®Google Scholar
• Y. Sahni, J. Cao, S. Zhang, and L. Yang, “Edge mesh: A new paradigm to enable distributed intelligence in internet of things,” IEEE. Access., Vol. 5, pp. 16441–16458, 2017. doi:https://doi.org/10.1109/ACCESS.2017.2739804
   Web of Science ®Google Scholar
• W. Lee, K. Nam, H. Roh, and S. Kim, “A gateway based fog computing architecture for wireless sensors and actuator networks,” in 2016 18th international Conference on advanced communication technology (ICACT), Jan. 2016, pp. 1–1.
   Google Scholar
• T. Nguyen Gia, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen, “Fog computing approach for mobility support in internet-of-things systems,” IEEE. Access., Vol. 6, pp. 36064–36082, 2018. doi:https://doi.org/10.1109/ACCESS.2018.2848119
   Web of Science ®Google Scholar
• C. Tang, Y. Chiang, Y. Tsou, J. Ju, and C. Twu, “A converged network architecture for ict and iot combined applications,” in 2016 18th Asia Pacific network operations and management Symposium (APNOMS), Oct. 2016, pp. 1–4.
   Google Scholar
• G. Camarillo, T. Kauppinen, M. Kuparinen, and I. M. Ivars, “Towards an innovation oriented ip multimedia subsystem [ip multimedia systems (ims) infrastructure and services],” IEEE Commun. Mag., Vol. 45, no. 3, pp. 130–136, Mar. 2007. doi:https://doi.org/10.1109/MCOM.2007.344594
   Web of Science ®Google Scholar
• P. Agrawal, J. Yeh, J. Chen, and T. Zhang, “IP multimedia subsystems in 3gpp and 3gpp2: Overview and scalability issues,” IEEE Commun. Mag., Vol. 46, no. 1, pp. 138–145, Jan. 2008. doi:https://doi.org/10.1109/MCOM.2008.4427242
   Web of Science ®Google Scholar
• M. E. Barachi, A. Kadiwal, R. Glitho, F. Khendek, and R. Dssouli, “The design and implementation of architectural components for the integration of the ip multimedia subsystem and wireless sensor networks,” IEEE Commun. Mag., Vol. 48, no. 4, pp. 42–50, Apr. 2010. doi:https://doi.org/10.1109/MCOM.2010.5439075
   Web of Science ®Google Scholar
• H. Rucheng, F. Belqasmi, R. H. Glitho, and F. Khendek, “The design and implementation of architectural components for the integration of the IP multimedia subsystem and wireless actuator networks,” IEEE Commun. Mag., Vol. 49, no. 12, pp. 138–146, Dec. 2011. doi:https://doi.org/10.1109/MCOM.2011.6094018
   Web of Science ®Google Scholar
• R. Accorsi, M. Bortolini, G. Baruffaldi, F. Pilati, and E. Ferrari, “Internet-of-Things paradigm in food supply chains control and management,” Procedia Manufacturing, Vol. 11, pp. 889–895, 2017. doi:https://doi.org/10.1016/j.promfg.2017.07.192
   Google Scholar
• Z. Pang, Q. Chen, W. Han, and L. Zheng, “Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion,” Inf. Syst. Front., Vol. 17, no. 2, pp. 289–319, Apr. 2015. doi:https://doi.org/10.1007/s10796-012-9374-9
   Web of Science ®Google Scholar
• R. Jedermann, M. Nicometo, I. Uysal, and W. Lang, “Reducing food losses by intelligent food logistics,” Philos. Transact. A Math. Phys. Eng. Sci., Vol. 372, pp. 20130302, 2014.
   PubMed Web of Science ®Google Scholar
• A. Pal, and K. Kant, “IoT-based sensing and communications infrastructure for the fresh food supply chain,” Computer. (Long. Beach. Calif), Vol. 51, no. 2, pp. 76–80, Feb. 2018.
   Web of Science ®Google Scholar
• H. Sternberg, A. Hagen, P. Paganelli, and K. Lumsden, “Intelligent cargo – enabling future’s sustainable and accountable transportation system,” World Journal of Science, Technology and Sustainable Development, Vol. 7, no. 3, pp. 253–262, 2010. doi:https://doi.org/10.1108/20425945201000016
   Google Scholar
• I. S. Saguy, R. P. Singh, T. Johnson, P. J. Fryer, and S. K. Sastry, “Challenges facing food engineering,” J. Food Eng., Vol. 119, no. 2, pp. 332–342, 2013.
   Web of Science ®Google Scholar
• Y. Zhang, L. Zhao, and C. Qian, “Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs,” Industrial Management & Data Systems, Vol. 117, no. 9, pp. 1890–1905, 2017.
   Web of Science ®Google Scholar
• X. Qiu, H. Luo, G. Xu, R. Zhong, and G. Q. Huang, “Physical assets and service sharing for IoT-enabled supply hub in industrial park (ship),” Int. J. Prod. Econ., Vol. 159, pp. 4–15, 2015.
   Web of Science ®Google Scholar
• X. Qiu, and G. Q. Huang, “Supply hub in industrial park (SHIP): The value of freight consolidation,” Comput. Ind. Eng., Vol. 65, no. 1, pp. 16–27, 2013. Intelligent Manufacturing Systems. doi:https://doi.org/10.1016/j.cie.2012.06.016
   Web of Science ®Google Scholar
• T. S. S. Yerpude, “Smart warehouse with internet of things supported inventory management system,” Int. J. Pure. Appl. Math., Vol. 118, pp. 1–15, 2018.
   Google Scholar
• B. S. S. Tejesh, and S. Neeraja, “Warehouse inventory management system using IoT and open source framework,” Alexandria Eng. J., Vol. 57, no. 4, pp. 3817–3823, 2018. doi:https://doi.org/10.1016/j.aej.2018.02.003
   Web of Science ®Google Scholar
• D. Zhang, L. T. Yang, M. Chen, S. Zhao, M. Guo, and Y. Zhang, “Real-time locating systems using active RFID for internet of things,” IEEE Syst. J., Vol. 10, no. 3, pp. 1226–1235, Sep. 2016. doi:https://doi.org/10.1109/JSYST.2014.2346625
   Web of Science ®Google Scholar
• R. Falkenberg, et al., “Phynetlab: An iot-based warehouse testbed,” in Proceedings of the 2017 Federated Conference on Computer Science and information systems, FedCSIS 2017, Prague, Czech Republic, Sep. 3-6, 2017, pp. 1051–1055.
   Google Scholar
• A. K. R. Venkatapathy, A. Riesner, M. Roidl, J. Emmerich, and M. t. Hompel, “Phynode: An intelligent, cyber-physical system with energy neutral operation for phynetlab,” in Smart SysTech 2015; European Conference on smart objects, systems and technologies, Jul. 2015, pp. 1–8.
   Google Scholar
• M. Masoudinejad, A. K. Ramachandran Venkatapathy, J. Emmerich, and A. Riesner, “Smart sensing devices for logistics application,” in Sensor Systems and Software, M. Magno, F. Ferrero, and V. Bilas, Eds. Cham: Springer International Publishing, 2017, pp. 41–52.
   Google Scholar
• P. J. Reaidy, A. Gunasekaran, and A. Spalanzani, “Bottom-up approach based on internet of things for order fulfillment in a collaborative warehousing environment,” Int. J. Prod. Econ., Vol. 159, pp. 29–40, 2015. doi:https://doi.org/10.1016/j.ijpe.2014.02.017
   Web of Science ®Google Scholar
• S. Trab, E. Bajic, A. Zouinkhi, M. N. Abdelkrim, H. Chekir, and R. H. Ltaief, “Product allocation planning with safety compatibility constraints in iot-based warehouse,” Procedia. Comput. Sci., Vol. 73, pp. 290–297, 2015. international Conference on Advanced Wireless Information and Communication Technologies (AWICT 2015). doi:https://doi.org/10.1016/j.procs.2015.12.033
   Google Scholar
• I. Harris, Y. Wang, and H. Wang, “ICT in multimodal transport and technological trends: Unleashing potential for the future,” Int. J. Prod. Econ., Vol. 159, pp. 88–103, 2015. doi:https://doi.org/10.1016/j.ijpe.2014.09.005
   Web of Science ®Google Scholar
• B. Karakostas, “A DNS architecture for the internet of things: A case study in transport logistics,” Procedia. Comput. Sci., Vol. 19, pp. 594–601, 2013. the 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013). doi:https://doi.org/10.1016/j.procs.2013.06.079
   Google Scholar
• E. Qin, Y. Long, C. Zhang, and L. Huang, “Cloud computing and the internet of things: Technology innovation in automobile service,” in Human interface and the management of information. information and Interaction for Health, safety, mobility and complex environments, S. Yamamoto, Ed. Berlin: Springer Berlin Heidelberg, 2013, pp. 173–180.
   Google Scholar
• E. Macioszek, “First and last mile delivery – problems and issues,” in Advanced solutions of transport systems for Growing mobility, G. Sierpinski, Ed. Cham: Springer International Publishing, 2018, pp. 147–154.
   Google Scholar
• S. Iwan, K. Kijewska, and J. Lemke, “Analysis of Parcel Lockers’ Efficiency as the Last Mile Delivery Solution – The Results of the Research in Poland,” Transportation Research Procedia, Vol. 12, pp. 644–655, 2016. doi:https://doi.org/10.1016/j.trpro.2016.02.018
   Google Scholar
• B. M. Louis Faugere, “Hyperconnected city logistics: Smart lockers terminals & last mile delivery networks,” in The third international physical Internet conference, Jun. 2016.
   Google Scholar
• X. Wang, X. Zha, W. Ni, R. P. Liu, Y. J. Guo, X. Niu, and K. Zheng, “Survey on blockchain for internet of things,” Comput. Commun., Vol. 136, pp. 10–29, Feb. 2019. doi:https://doi.org/10.1016/j.comcom.2019.01.006
   Web of Science ®Google Scholar
• A. Rejeb, J. G. Keogh, and H. Treiblmaier, “Leveraging the internet of things and blockchain technology in supply chain management,” Future Internet, Vol. 11, no. 7, pp. 160–182, 2019. doi:https://doi.org/10.3390/fi11070161
   Web of Science ®Google Scholar
• T. Meyer, M. Kuhn, and E. Hartmann, “Blockchain technology enabling the physical internet: A synergetic application framework,” Comput. Ind. Eng., Vol. 136, pp. 5–17, 2019. doi:https://doi.org/10.1016/j.cie.2019.07.006
   Web of Science ®Google Scholar
• Treiblmaier, “Combining blockchain technology and the physical internet to achieve triple bottom line sustainability: A comprehensive research agenda for modern logistics and supply chain management,” Logistics, Vol. 3, no. 1, pp. 11–24, 2019.
   Google Scholar
• A. Banerjee, “Chapter nine - blockchain with iot: Applications and use cases for a new paradigm of supply chain driving efficiency and cost,” in Role of Blockchain Technology in IoT Applications, ser. Advances in Computers, S. Kim, G. C. Deka, and P. Zhang, Eds. New Delhi: Elsevier, 2019, vol. 115, pp. 259–292.
   Google Scholar
• D. Tsamboulas, H. Vrenken, and A. Lekka, “Assessment of a transport policy potential for intermodal mode shift on a European scale,” Transp. Res. Part A: Policy Pract, Vol. 41, no. 8, pp. 715–733, 2007. doi:https://doi.org/10.1016/j.tra.2006.12.003
   Web of Science ®Google Scholar
• A. K. R. Venkatapathy, M. Roidl, A. Riesner, J. Emmerich, and M. ten Hompel, “Phynetlab: Architecture design of ultra-low power wireless sensor network testbed,” in 2015 IEEE 16th international Symposium on A world of wireless, mobile and multimedia networks (WoWMoM), Jun. 2015, pp. 1–6.
   Google Scholar