References
- Afshoon, M., A. Keshavazi, T. Derikvand, and M. Bohlouli. 2020. Efficient Cluster Head Selection Using the Non-linear Programming Method for Wireless Sensor Networks. In: Bohlouli M., Sadeghi Bigham B., Narimani Z., Vasighi M., Ansari E. (eds) Data Science: From Research to Application. CiDaS 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 45. Springer, Cham. doi:https://doi.org/10.1007/978-3-030-37309-2_1.
- Azad, P., Navimipour, N.J., Rahmani, A.M. et al. 2020. The role of structured and unstructured data managing mechanisms in the Internet of things. Cluster Comput 23: 1185–1198. doi:https://doi.org/10.1007/s10586-019-02986-2.
- Barolli, L., Q. Wang, E. Kulla, B. Kamo, F. Xhafa, and M. Younas. 2012. “A Fuzzy-Based Simulation System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks,” 2012 Third International Conference on Emerging Intelligent Data and Web Technologies, pp. 16-22, doi: https://doi.org/10.1109/EIDWT.2012.14.
- Behera, T. M., S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand, and A. H. Gandomi. 2019. Residual Energy Based Cluster-Head Selection in WSNs for IoT Application. IEEE INTERNET OF THINGS JOURNAL 6 (3):5132–39. doi:https://doi.org/10.1109/JIOT.2019.2897119.
- Busch, C., R. Kannan, and A. V. Vasilakos. 2012. Approximating congestion+ dilation in networks via” quality of routing” games. IEEE Transactions on Computers 61 (9):1270–83. doi:https://doi.org/10.1109/TC.2011.145.
- Cao, X., H. Zhang, J. Shi, and G. Cui. 2008. “Cluster Heads Election Analysis for Multi-hop Wireless Sensor Networks Based on Weighted Graph and Particle Swarm Optimization,” 2008 Fourth International Conference on Natural Computation, pp. 599-603, doi: https://doi.org/10.1109/ICNC.2008.693.
- Chapuis, G., H. Djidjev, D. Lavenier, and R. Andonov. 2017. “GPU-accelerated shortest paths computations for planar graphs.
- Chen, F., P. Deng, J. Wan, D. Zhang, A. V. Vasilakos, and X. Rong. 2015. Data mining for the internet of things: literature review and challenges. International Journal of Distributed Sensor Networks 11 (8):431047. https://www.hindawi.com/journals/ijdsn/aa/431047/abs/.
- Chen, J., and H. Shen. 2008. MELEACH-L: More energy-efficient LEACH for large-scale WSNs. 4th International Conference on Wireless Communications, Networking and Mobile Computing (Wicom) 1–4.
- Chiu, S. L. 1994. Fuzzy model identification based on cluster estimation. Journal of Intelligent & Fuzzy Systems 2 (3):267–78. doi:https://doi.org/10.3233/IFS-1994-2306.
- Du, X., M. Guizani, Y. Xiao, and H.-H. Chen. 2007. Two tier secure routing protocol for heterogeneous sensor networks. IEEE Transaction on Wireless Communications 6 (9):3395–401. doi:https://doi.org/10.1109/TWC.2007.06095.
- Elias, K., P. Mohanty Saraju, C. Gavin, A. Umar, and S. Prabha. 2016. Design of a high-performance system for secure image communication in the internet of things. IEEE 4:1222–42.
- Gajjar, S., M. Sarkar, and K. Dasgupta. 2014. Cluster head selection protocol using Fuzzy logic for wireless sensor networks. International Journal of Computer Applications 97 (7):38–43. http://search.proquest.com/openview/3d2a3ffe9d4931fe2b42dc435d0e670e/1?pq-origsite=gscholar&cbl=136216.
- Han, K., J. Luo, Y. Liu, and A. V. Vasilakos. 2013. Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE 51 (7):107–13.
- Han, T., L. Zhang, S. Pirbhulal, W. Wanqing, and C. D. A. Victor Hugo. 2019. A novel cluster head selection technique for edge-computing based IoMT systems. Computer Networks 158:114–22. doi:https://doi.org/10.1016/j.comnet.2019.04.021.
- Heinzelman, W. R., A. Chandrakasan, and H. Balakrishnan. 2000. “Energy-efficient communication protocol for wireless microsensor networks,” Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, pp. 10 pp. vol.2, doi: https://doi.org/10.1109/HICSS.2000.926982.
- Hu, W., W. Yao, H. Yawei, and L. Huanhao. 2019. Selection of cluster heads for wireless sensor network in Ubiquitous power internet of things. International Journal of Computers Communications & Control 14 (3):344–58. doi:https://doi.org/10.15837/ijccc.2019.3.3573.
- Huang, G., L. Xiaowei, and H. Jing 2006. “Dynamic Minimal Spanning Tree Routing Protocol for Large Wireless Sensor Networks,” 2006 1ST IEEE Conference on Industrial Electronics and Applications, pp. 1-5, doi: https://doi.org/10.1109/ICIEA.2006.257220.
- Hussain, S., and O. Islam. 2007. “An Energy Efficient Spanning Tree Based Multi-Hop Routing in Wireless Sensor Networks,“ 2007 IEEE Wireless Communications and Networking Conference, pp. 4383-4388, doi: https://doi.org/10.1109/WCNC.2007.799.
- Jafarizadeh, V., A. Keshavarzi, and T. Derikvand. 2017. Efficient cluster head selection using Naïve Bayes classifier for wireless sensor networks. Wireless Netw 23: 779–785. doi:https://doi.org/10.1007/s11276-015-1169-8.
- Jing, Q., A. V. Vasilakos, J. Wan, L. Jingwei, and D. Qiu. 2014. Security of the internet of things: Perspectives and challenges. Wireless Networks 20 (8):2481–501. doi:https://doi.org/10.1007/s11276-014-0761-7.
- Keshavarzi, A., A. T. Haghighat, and M. Bohlouli. 2017. Adaptive resource management and provisioning in the cloud computing: A survey of definitions, standards and research roadmaps. KSII Transactions on Internet and Information Systems (TIIS) 11 (9):4280–300.
- Keshavarzi, A., A. T. Haghighat, and M. Bohlouli. 2020. Enhanced time-aware QoS prediction in multi-cloud: A hybrid k-medoids and lazy learning approach (QoPC). Computing 102 (4):923–49. doi:https://doi.org/10.1007/s00607-019-00747-y.
- Keshavarzi, A., A. T. Haghighat, and M. Bohlouli. 2021. Clustering of large scale QoS time series data in federated clouds using improved variable Chromosome Length Genetic Algorithm (CQGA). Expert Systems with Applications 164:113840. doi:https://doi.org/10.1016/j.eswa.2020.113840.
- Lachowski, R., M. E. Pellenz, E. Jamhour, M. C. Penna, and R. Souza. 2015. An efficient distributed algorithm for constructing spanning trees in wireless sensor networks. Sensors 15: 1518–36. OPEN ACCESS. doi:https://doi.org/10.3390/s150101518.
- Lee, J.-S., and W.-L. Cheng. 2012. Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sensors Journal 12 (9):2891–97. doi:https://doi.org/10.1109/JSEN.2012.2204737.
- Li, C., H. Zhang, B. Hao, and L. Jiandong. 2011. A survey on routing protocols for large-scale wireless sensor networks. Sensors 11:3498–526. doi:https://doi.org/10.3390/s110403498.
- Li, M., L. Zhenjiang, and A. V. Vasilakos. 2013. A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. IEEE 101 (12):2538–57. doi:https://doi.org/10.1109/JPROC.2013.2257631.
- Lindsey, S., and C. S. Raghavendra. 2002. “PEGASIS: Power-efficient gathering in sensor information systems,” Proceedings, IEEE Aerospace Conference, pp. 3-3, doi:https://doi.org/10.1109/AERO.2002.1035242.
- Liu, X.-Y., Y. Zhu, L. Kong, C. Liu, Y. Gu, A. V. Vasilakos, and M.-Y. Wu. 2015. CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 26 (8):2188–97. doi:https://doi.org/10.1109/TPDS.2014.2345257.
- Meng, T., W. Fan, Z. Yang, G. Chen, and A. V. Vasilakos. 2016. Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers 65 (1):244–55. doi:https://doi.org/10.1109/TC.2015.2417543.
- Muruganathan, S. D., D. C. F. Ma, R. I. Bhasin, and A. O. Fapojuwo. 2005. A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine 43 (3):8–13. doi:https://doi.org/10.1109/MCOM.2005.1404592.
- Nguyen, H. P., L. Phan Quang Huy, P. Van Viet, N. Xuan Phuong, D. Balasubramaniam, and A.-T. Hoang. 2021. Application of the Internet of Things in 3E (efficiency, economy, and environment) factor-based energy management as smart and sustainable strategy. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 1–23. doi:https://doi.org/10.1080/15567036.2021.1954110.
- Ni, Q., Q. Pan, D. Huimin, C. Cao, and Y. Zhai. 2015. A novel cluster head selection algorithm based on fuzzy clustering and particle swarm optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics 14 (1):76–84. doi:https://doi.org/10.1109/TCBB.2015.2446475.
- Ozdemir, S., and Y. Xiao. 2009. Secure data aggregation in wireless sensor networks: A comprehensive overview. Computer Networks 53 (12):2022–37. doi:https://doi.org/10.1016/j.comnet.2009.02.023.
- Pal, V., G. Singh, R. P. Yadav, and R. P. Yadav. 2015. Cluster head selection optimization based on genetic algorithm to prolong lifetime of wireless sensor networks. Procedia Computer Science 57:1417–23. doi:https://doi.org/10.1016/j.procs.2015.07.461.
- Peyravi, F., and A. Keshavarzi. 2009.“Agent Based Model for Call Centers Using Knowledge Management,” 2009 Third Asia International Conference on Modelling & Simulation, pp. 51-56, doi:https://doi.org/10.1109/AMS.2009.147.
- Pourghebleh, B., Hayyolalam, V. A 2020. comprehensive and systematic review of the load balancing mechanisms in the Internet of Things. Cluster Comput 23: 641–661. doi:https://doi.org/10.1007/s10586-019-02950-0
- Praveen Kumar, R. M., and M. Rajasekhara Babu. 2019. “Implementing self adaptiveness in whale optimization for cluster head section in internet of things.” Cluster Computing 22 (1):1361–72. doi:https://doi.org/10.1007/s10586-017-1628-3
- Praveen Kumar, R. M., and M. Rajasekhara Babu. 2019a. A hybrid cluster head selection model for internet of things. Cluster Computing 22 (6):13095–107. doi:https://doi.org/10.1007/s10586-017-1261-1.
- Prim, R. C. 1957. Shortest connection networks and some generalizations. Bell Labs Technical Journal 36 (6):1389–401. doi:https://doi.org/10.1002/j.1538-7305.1957.tb01515.x.
- Saravanan, M., and M. Madheswaran. 2014. A hybrid optimized weighted minimum spanning tree for the shortest intrapath selection in wireless sensor network. Mathematical Problems in Engineering: 2014. https://www.hindawi.com/journals/mpe/2014/713427/abs/
- Sharma, T., B. Kumar, G. S. Tomar, and I. Berry. 2014. Particle swarm optimization based cluster head election approach for wireless sensor network. International Journal of Smart Device and Appliance 2 (2):11–26. http://iacsportal.org/images/demo/ijsda/2014/IJSDA_2014_2_2_article2.pdf.
- Varghese, B. 2016. Cluster head selection in wireless sensor networks. International Journal of Latest Research in Engineering and Technology (IJLRET) 2 (4):60–66.
- Vo, D. T., X. P. Nguyen, N. Thai Duong, H. Rahmat, H. Thanh Tung, and D. T. Nguyen. 2021. A review on the internet of thing (IoT) technologies in controlling ocean environment. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 1–19. doi:https://doi.org/10.1080/15567036.2021.1960932.
- Wang, G., Y. Wang, and X. Tao. 2009. “An Ant Colony Clustering Routing Algorithm for Wireless Sensor Networks,” 2009 Third International Conference on Genetic and Evolutionary Computing, pp. 670-673, doi:https://doi.org/10.1109/WGEC.2009.22.
- Wang, W., B. Wang, Z. Liu, L. Guo, and W. Xiong. 2011. A cluster-based and tree-based power efficient data collection and aggregation protocol for wireless sensor networks. Information Technology Journal 10 (3):557–64. doi:https://doi.org/10.3923/itj.2011.557.564.
- Wang, X., and H. Qian. 2012. Constructing a 6LoWPAN wireless sensor network based on a cluster tree. IEEE Transactions on Vehicular Technology 61 (3):1398–405. doi:https://doi.org/10.1109/TVT.2012.2185260.
- Xu, X., R. Ansari, A. Khokhar, and A. V. Vasilakos. 2015. Hierarchical Data Aggregation Using Compressive Sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks (TOSN) 11 (3):45. doi:https://doi.org/10.1145/2700264.
- Younis, O., and S. Fahmy. 2004. HEED: A hybrid, energy-efficient, distributed clustering approach for Ad Hoc sensor networks. IEEE Transactions on Mobile Computing 3 (4):366–79. doi:https://doi.org/10.1109/TMC.2004.41.
- Zeng, Y., K. Xiang, L. Deshi, and A. V. Vasilakos. 2013. Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks 19 (2):161–73. doi:https://doi.org/10.1007/s11276-012-0457-9.
- Zhang, J., Y. Xie, D. Liu, and Z. Zhang. 2012. OCTBR: Optimized Clustering Tree Based Routing Protocol for Wireless Sensor Networks.
- Zhang, X. M., Y. Zhang, F. Yan, and A. V. Vasilakos. 2015. Interference-based topology control algorithm for delay-constrained mobile Ad Hoc networks. IEEE Transactions on Mobile Computing 14 (4):742–54. doi:https://doi.org/10.1109/TMC.2014.2331966.
- Zheng, G., and H. Zhengbing. 2010. Tree routing protocol with location-based uniformly clustering strategy in WSNs. Special Issue: All-Optically Routed Networks Guest Editors: Antonio Teixeira, Anna Tzanakaki, Davide Careglio, and Miroslaw Klinkowski 5 (11):1243–388. doi:https://doi.org/10.4304/jnw.5.11.1245-1247.
- Zhou, B., A. Marshall, and L. Th. 2005. “An energy-aware virtual backbone tree for wireless sensor networks,” GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., pp. 6 pp.-, doi:https://doi.org/10.1109/GLOCOM.2005.1577373.