On routing algorithms in the internet of vehicles: a survey

References

• Abbas, F., & Fan, P. (2018). Clustering-based reliable low-latency routing scheme using ACO method for vehicular networks. Vehicular Communications, 12, 66–74. https://doi.org/10.1016/j.vehcom.2018.02.004
   Web of Science ®Google Scholar
• Abbas, M. T., Muhammad, A., & Song, W. -C. (2020). SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach. Journal of Ambient Intelligence and Humanized Computing, 11(3), 1265–1280. https://doi.org/10.1007/s12652-019-01319-w
   Web of Science ®Google Scholar
• Abuashour, A., & Kadoch, M. (2017). Performance improvement of cluster-based routing protocol in VANET. IEEE Access, 5, 15354–15371. https://doi.org/10.1109/ACCESS.2017.2733380
   Web of Science ®Google Scholar
• Alam, K. M., Saini, M., & El Saddik, A. (2015). Toward social internet of vehicles: Concept, architecture, and applications. IEEE Access, 3, 343–357. https://doi.org/10.1109/ACCESS.2015.2416657
   Web of Science ®Google Scholar
• Al-Sultan, S., Al-Doori, M. M., A. H. Al-Bayatti, & Zedan, H. (2014). A comprehensive survey on vehicular ad hoc network. Journal of Network and Computer Applications, 37, 380–392. https://doi.org/10.1016/j.jnca.2013.02.036
   Web of Science ®Google Scholar
• Altayeb, M., & Mahgoub, I. (2013). A survey of vehicular ad hoc networks routing protocols. International Journal of Innovation and Applied Studies, 3(3), 829–846.
   Google Scholar
• Aravindhan, K., & Dhas, C. S. G. (2019). Destination-aware context-based routing protocol with hybrid soft computing cluster algorithm for VANET. Soft Computing, 23(8), 2499–2507. https://doi.org/10.1007/s00500-018-03685-7
   Web of Science ®Google Scholar
• Ardakani, S. P. (2018). ACR: A cluster-based routing protocol for VANET. International Journal of Wireless & Mobile Networks (IJWMN), 10(2), 39–53.
   Google Scholar
• Bujari, A. (2016). A network coverage algorithm for message broadcast in vehicular networks. Mobile Networks and Applications, 21(4), 668–676. https://doi.org/10.1007/s11036-016-0723-7
   Web of Science ®Google Scholar
• Bujari, A., Gaggi, O., Palazzi, C. E., & Ronzani, D. (2018). Would current ad-hoc routing protocols be adequate for the internet of vehicles? A comparative study. IEEE Internet of Things Journal, 5(5), 3683–3691. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Casas-Velasco, D. M., Rendon, O. M. C., & da Fonseca, N. L. (2020). Intelligent routing based on reinforcement learning for software-defined networking. IEEE Transactions on Network and Service Management, 18(1), 870–881. https://doi.org/10.1109/TNSM.4275028
   Web of Science ®Google Scholar
• Chen, C., Liu, L., Qiu, T., Jiang, J., Pei, Q., & Song, H. (2020). Routing with traffic awareness and link preference in internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 23(1), 200–214. https://doi.org/10.1109/TITS.2020.3009455
   Web of Science ®Google Scholar
• Chen, P.-Y., Cheng, S.-M., & Sung, M.-H. (2018). Analysis of data dissemination and control in social internet of vehicles. IEEE Internet of Things Journal, 5(4), 2467–2477. https://doi.org/10.1109/JIOT.2018.2846722
   Web of Science ®Google Scholar
• Cheng, C.-F., Srivastava, G., Lin, J. C.-W., & Lin, Y.-C. (2021). Fault-tolerance mechanisms for software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3859–3868. https://doi.org/10.1109/TITS.2020.3043729
   Web of Science ®Google Scholar
• Cheng, J., Cheng, J., Zhou, M., Liu, F., Gao, S., & Liu, C. (2015). Routing in internet of vehicles: A review. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2339–2352. https://doi.org/10.1109/TITS.2015.2423667
   Web of Science ®Google Scholar
• Cheng, J., Yuan, G., Zhou, M., Gao, S., Liu, C., Duan, H., & Zeng, Q. (2020). Accessibility analysis and modeling for IoV in an urban scene. IEEE Transactions on Vehicular Technology, 69(4), 4246–4256. https://doi.org/10.1109/TVT.25
   Web of Science ®Google Scholar
• Contreras-Castillo, J., Zeadally, S., & Guerrero-Ibañez, J. A. (2017). Internet of vehicles: Architecture, protocols, and security. IEEE Internet of Things Journal, 5(5), 3701–3709. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Cooper, C., Franklin, D., Ros, M., Safaei, F., & Abolhasan, M. (2016). A comparative survey of VANET clustering techniques. IEEE Communications Surveys & Tutorials, 19(1), 657–681. https://doi.org/10.1109/COMST.2016.2611524
   Web of Science ®Google Scholar
• Cunha, F., Villas, L., Boukerche, A., Maia, G., Viana, A., Mini, R. A., & Loureiro, A. A. (2016). Data communication in VANETs: Protocols, applications and challenges. Ad Hoc Networks, 44, 90–103. https://doi.org/10.1016/j.adhoc.2016.02.017
   Web of Science ®Google Scholar
• Dai, Y., Xu, D., Zhang, K., Maharjan, S., & Zhang, Y. (2019). Permissioned blockchain and deep reinforcement learning for content caching in vehicular edge computing and networks. In 2019 11th international conference on wireless communications and signal processing (WCSP) (pp. 1–6).
   Google Scholar
• Data, D., Song, L., & Diggavi, S. (2019). Data encoding methods for byzantine-resilient distributed optimization. In 2019 IEEE international symposium on information theory (ISIT) (pp. 2719–2723).
   Google Scholar
• Devangavi, A. D., & Gupta, R. (2017). Routing protocols in VANET—A survey. In 2017 international conference on smart technologies for smart nation (SmartTechCon) (pp. 163–167).
   Google Scholar
• Diao, C., Zhang, D., Liang, W., Li, K.-C., Hong, Y., & Gaudiot, J.-L. (2022). A novel spatial-temporal multi-scale alignment graph neural network security model for vehicles prediction. IEEE Transactions on Intelligent Transportation Systems, 24(1), 904–914. https://doi.org/10.1109/TITS.2022.3140229
   Web of Science ®Google Scholar
• Ding, Q., Sun, B., & Zhang, X. (2016). A traffic-light-aware routing protocol based on street connectivity for urban vehicular ad hoc networks. IEEE Communications Letters, 20(8), 1635–1638. https://doi.org/10.1109/LCOMM.2016.2574708
   Web of Science ®Google Scholar
• Dutta, A. K., Elhoseny, M., Dahiya, V., & Shankar, K. (2020). An efficient hierarchical clustering protocol for multihop internet of vehicles communication. Transactions on Emerging Telecommunications Technologies, 31(5), e3690. https://doi.org/10.1002/ett.v31.5
   Web of Science ®Google Scholar
• Euchi, J. (2017). The vehicle routing problem with private fleet and multiple common carriers: Solution with hybrid metaheuristic algorithm. Vehicular Communications, 9, 97–108. https://doi.org/10.1016/j.vehcom.2017.04.005
   Web of Science ®Google Scholar
• Fan, Y., Xu, B., Zhang, L., Song, J., Zomaya, A., & Li, K.-C. (2023). Validating the integrity of convolutional neural network predictions based on zero-knowledge proof. Information Sciences, 625, 125–140. https://doi.org/10.1016/j.ins.2023.01.036
   Web of Science ®Google Scholar
• Gasmi, R., Aliouat, M., & Seba, H. (2020). A stable link based zone routing protocol (SL-ZRP) for internet of vehicles environment. Wireless Personal Communications, 112, 1045–1060. https://doi.org/10.1007/s11277-020-07090-y
   Web of Science ®Google Scholar
• Ghafoor, H., & Koo, I. (2017). CR-SDVN: A cognitive routing protocol for software-defined vehicular networks. IEEE Sensors Journal, 18(4), 1761–1772. https://doi.org/10.1109/JSEN.2017.2788014
   Web of Science ®Google Scholar
• Ghafoor, K. Z., Kong, L., Rawat, D. B., Hosseini, E., & Sadiq, A. S. (2018). Quality of service aware routing protocol in software-defined internet of vehicles. IEEE Internet of Things Journal, 6(2), 2817–2828. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Gupta, R., & Patel, P. (2016). A survey on vehicular ad hoc networks. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), 15(4), 34–42.
   Google Scholar
• Han, R., Guan, Q., Yu, F. R., Shi, J., & Ji, F. (2020). Congestion and position aware dynamic routing for the internet of vehicles. IEEE Transactions on Vehicular Technology, 69(12), 16082–16094. https://doi.org/10.1109/TVT.25
   Web of Science ®Google Scholar
• Hasrouny, H., Samhat, A. E., Bassil, C., & Laouiti, A. (2017). VANET security challenges and solutions: A survey. Vehicular Communications, 7, 7–20. https://doi.org/10.1016/j.vehcom.2017.01.002
   Web of Science ®Google Scholar
• Hu, N., Zhang, D., Xie, K., Liang, W., Li, K.-C., & Zomaya, A. (2023). Multi-graph fusion based graph convolutional networks for traffic prediction. Computer Communications, 210, 194–204. https://doi.org/10.1016/j.comcom.2023.08.004
   Web of Science ®Google Scholar
• Ji, B., Zhang, X., Mumtaz, S., Han, C., Li, C., Wen, H., & Wang, D. (2020). Survey on the internet of vehicles: Network architectures and applications. IEEE Communications Standards Magazine, 4(1), 34–41. https://doi.org/10.1109/MCOMSTD.7886829
   Google Scholar
• Ji, X., Yu, H., Fan, G., & Fu, W. (2016). SDGR: An SDN-based geographic routing protocol for VANET. In 2016 IEEE international conference on internet of things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData) (pp. 276–281).
   Google Scholar
• Jiang, T., Fang, H., & Wang, H. (2018). Blockchain-based internet of vehicles: Distributed network architecture and performance analysis. IEEE Internet of Things Journal, 6(3), 4640–4649. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Jiang, Y., Liang, W., Tang, J., Zhou, H., Li, K.-C., & Gaudiot, J.-L. (2021). A novel data representation framework based on nonnegative manifold regularisation. Connection Science, 33(2), 136–152. https://doi.org/10.1080/09540091.2020.1772722
   Web of Science ®Google Scholar
• Jiao, J., Wang, L., Li, Y., Han, D., Yao, M., Li, K.-C., & Jiang, H. (2021). Cash: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores. Connection Science, 33(2), 113–135. https://doi.org/10.1080/09540091.2020.1758924
   Web of Science ®Google Scholar
• Kadadha, M., Otrok, H., Barada, H., Al-Qutayri, M., & Al-Hammadi, Y. (2018). A cluster-based QoS-OLSR protocol for urban vehicular ad hoc networks. In 2018 14th international wireless communications & mobile computing conference (IWCMC) (pp. 554–559).
   Google Scholar
• Kadhim, A. J., & Seno, S. A. H. (2019). Energy-efficient multicast routing protocol based on SDN and fog computing for vehicular networks. Ad Hoc Networks, 84, 68–81. https://doi.org/10.1016/j.adhoc.2018.09.018
   Web of Science ®Google Scholar
• Kaiwartya, O., Abdullah, A. H., Cao, Y., Altameem, A., Prasad, M., Lin, C.-T., & Liu, X. (2016). Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects. IEEE Access, 4, 5356–5373. https://doi.org/10.1109/ACCESS.2016.2603219
   Web of Science ®Google Scholar
• Kakarla, J., Sathya, S. S., & Laxmi, B. G. (2011). A survey on routing protocols and its issues in VANET.
   Google Scholar
• Kaur, G., Rani, M. S., & Aseri, T. C. (2015). Improved AODV routing protocol for mitigating effects of grayhole attack in VANET using genetic algorithm. International Journal of Computer Science & Engineering Technology, 5(7), 234–239.
   Google Scholar
• Kayarga, T., & Kumar, S. A. (2021). A study on various technologies to solve the routing problem in internet of vehicles (IoV). Wireless Personal Communications, 119, 459–487. https://doi.org/10.1007/s11277-021-08220-w
   Web of Science ®Google Scholar
• Kelarestaghi, K. B., Foruhandeh, M., Heaslip, K., & Gerdes, R. (2019). Intelligent transportation system security: impact-oriented risk assessment of in-vehicle networks. IEEE Intelligent Transportation Systems Magazine, 13, 91–104. https://doi.org/10.1109/MITS.2018.2889714
   Web of Science ®Google Scholar
• Kumar, P. M., Manogaran, G., Sundarasekar, R., Chilamkurti, N., & Varatharajan, R. (2018). Ant colony optimization algorithm with internet of vehicles for intelligent traffic control system. Computer Networks, 144, 154–162. https://doi.org/10.1016/j.comnet.2018.07.001
   Web of Science ®Google Scholar
• Li, T., Li, C., Luo, J., & Song, L. (2020). Wireless recommendations for internet of vehicles: Recent advances, challenges, and opportunities. Intelligent and Converged Networks, 1(1), 1–17. https://doi.org/10.23919/TUP-ICN.9195266
   Google Scholar
• Liang, W., Long, J., Lei, X., You, Z., Luo, H., Cai, J., & Li, K.-C. (2019). Efficient data packet transmission algorithm for ipv6 mobile vehicle network based on fast switching model with time difference. Future Generation Computer Systems, 100, 132–143. https://doi.org/10.1016/j.future.2019.04.040
   Web of Science ®Google Scholar
• Lin, D., Kang, J., Squicciarini, A., Wu, Y., Gurung, S., & Tonguz, O. (2016). MoZo: A moving zone based routing protocol using pure V2V communication in VANETs. IEEE Transactions on Mobile Computing, 16(5), 1357–1370. https://doi.org/10.1109/TMC.2016.2592915
   Web of Science ®Google Scholar
• Lin, H.-Y., Doong, J.-G., Hsieh, M.-Y., & Li, K.-C. (2017). A real time vehicle management system implementation on cloud computing platform. International Journal of High Performance Computing and Networking, 10(3), 168–178. https://doi.org/10.1504/IJHPCN.2017.084245
   Google Scholar
• Lin, H. Y., Hsieh, M. -Y., & Li, K. -C. (2018). The secure vehicle-to-vehicle and vehicle-to-group communication mechanisms in smart city. In 2018 IEEE fourth international conference on big data computing service and applications (BigDataService) (pp. 186–192).
   Google Scholar
• Liu, J., Wan, J., Wang, Q., Deng, P., Zhou, K., & Qiao, Y. (2016). A survey on position-based routing for vehicular ad hoc networks. Telecommunication Systems, 62(1), 15–30. https://doi.org/10.1007/s11235-015-9979-7
   Web of Science ®Google Scholar
• Marzak, B., Toumi, H., El Guemmat, K., Benlahmar, A., & Talea, M. (2016). A survey on routing protocols for vehicular ad-hoc networks. Indian Journal of Science and Technology, 9(1), 1–20. https://doi.org/10.17485/IJST
   Google Scholar
• Meng, X., Xu, J., Liang, W., Xu, Z., & Li, K.-C. (2021). A lightweight anonymous cross-regional mutual authentication scheme using blockchain technology for internet of vehicles. Computers and Electrical Engineering, 95, 107431. https://doi.org/10.1016/j.compeleceng.2021.107431
   Web of Science ®Google Scholar
• Mershad, K. (2020). SURFER: A secure SDN-based routing protocol for internet of vehicles. IEEE Internet of Things Journal, 8(9), 7407–7422. https://doi.org/10.1109/JIOT.2020.3038465
   Web of Science ®Google Scholar
• Mershad, K., Artail, H., & Gerla, M. (2012). Roamer: Roadside units as message routers in VANETs. Ad Hoc Networks, 10(3), 479–496. https://doi.org/10.1016/j.adhoc.2011.09.001
   Web of Science ®Google Scholar
• Naser, J. I., & Kadhim, A. J. (2020). Multicast routing strategy for SDN-cluster based MANET. International Journal of Electrical & Computer Engineering (2088–8708), 10(5), 4447–4457.
   Google Scholar
• Nguyen, T.-H., & Jung, J. J. (2021). Multiple ACO-based method for solving dynamic MSMD traffic routing problem in connected vehicles. Neural Computing and Applications, 33(12), 6405–6414. https://doi.org/10.1007/s00521-020-05402-8
   Web of Science ®Google Scholar
• Ning, Z., Hu, X., Chen, Z., Zhou, M., Hu, B., Cheng, J., & Obaidat, M. S. (2017). A cooperative quality-aware service access system for social internet of vehicles. IEEE Internet of Things Journal, 5(4), 2506–2517. https://doi.org/10.1109/JIOT.2017.2764259
   Web of Science ®Google Scholar
• Oubbati, O. S., Lakas, A., Zhou, F., Güneş, M., Lagraa, N., & Yagoubi, M. B. (2017). Intelligent UAV-assisted routing protocol for urban VANETs. Computer Communications, 107, 93–111. https://doi.org/10.1016/j.comcom.2017.04.001
   Web of Science ®Google Scholar
• Priyan, M., & G. U. Devi (2019). A survey on internet of vehicles: Applications, technologies, challenges and opportunities. International Journal of Advanced Intelligence Paradigms, 12(1-2), 98–119. https://doi.org/10.1504/IJAIP.2019.096957
   Google Scholar
• Qureshi, K. N., Abdullah, A. H., & Altameem, A. (2017). Road aware geographical routing protocol coupled with distance, direction and traffic density metrics for urban vehicular ad hoc networks. Wireless Personal Communications, 92(3), 1251–1270. https://doi.org/10.1007/s11277-016-3604-2
   Web of Science ®Google Scholar
• Qureshi, K. N., Idrees, M. M., Lloret, J., & Bosch, I. (2020). Self-assessment based clustering data dissemination for sparse and dense traffic conditions for internet of vehicles. IEEE Access, 8, 10363–10372. https://doi.org/10.1109/Access.6287639
   Web of Science ®Google Scholar
• Rayeni, M. S., & Hafid, A. (2018). Routing in heterogeneous vehicular networks using an adapted software defined networking approach. In 2018 fifth international conference on software defined systems (SDS) (pp. 25–31).
   Google Scholar
• Ren, M., Khoukhi, L., Labiod, H., Zhang, J., & Veque, V. (2017). A mobility-based scheme for dynamic clustering in vehicular ad-hoc networks (VANETs). Vehicular Communications, 9, 233–241. https://doi.org/10.1016/j.vehcom.2016.12.003
   Web of Science ®Google Scholar
• Ronzani, D. (2018). Data gathering and dissemination over flying ad-hoc networks in smart environments.
   Google Scholar
• Senouci, O., Aliouat, Z., & Harous, S. (2019). A review of routing protocols in internet of vehicles and their challenges. Sensor Review, 39, 58–70. https://doi.org/10.1108/SR-08-2017-0168
   Web of Science ®Google Scholar
• Sherazi, H. H. R., Khan, Z. A., Iqbal, R., Rizwan, S., Imran, M. A., & Awan, K. (2019). A heterogeneous IoV architecture for data forwarding in vehicle to infrastructure communication. Mobile Information Systems, 2019, 1–12. https://doi.org/10.1155/2019/3101276
   Web of Science ®Google Scholar
• Singh, P. K., Nandi, S. K., & Nandi, S. (2019). A tutorial survey on vehicular communication state of the art, and future research directions. Vehicular Communications, 18, 100164. https://doi.org/10.1016/j.vehcom.2019.100164
   Web of Science ®Google Scholar
• Sun, Y., Wu, L., Wu, S., Li, S., Zhang, T., Zhang, L., Xu, J., & Xiong, Y. (2015). Security and privacy in the internet of vehicles. In 2015 international conference on identification, information, and knowledge in the internet of things (IIKI) (pp. 116–121).
   Google Scholar
• Talat, H., Nomani, T., Mohsin, M., & Sattar, S. (2019). A survey on location privacy techniques deployed in vehicular networks. In 2019 16th international Bhurban conference on applied sciences and technology (IBCAST) (pp. 604–613).
   Google Scholar
• Taleb, T., Sakhaee, E., Jamalipour, A., Hashimoto, K., Kato, N., & Nemoto, Y. (2007). A stable routing protocol to support its services in VANET networks. IEEE Transactions on Vehicular technology, 56(6), 3337–3347. https://doi.org/10.1109/TVT.2007.906873
   Web of Science ®Google Scholar
• Tassoult, N., Amad, M., MOUMEN, H., & Kalla, H. (2019). A survey on vehicular ad-hoc networks routing protocols: Classification and challenges. Journal of Digital Information Management, 17(4), 227. https://doi.org/10.6025/jdim/2019/17/4/227-244
   Google Scholar
• Tripp-Barba, C., Zaldívar-Colado, A., Urquiza-Aguiar, L., & Aguilar-Calderón, J. A. (2019). Survey on routing protocols for vehicular ad hoc networks based on multimetrics. Electronics, 8(10), 1177. https://doi.org/10.3390/electronics8101177
   Web of Science ®Google Scholar
• Vasudev, H., & Das, D. (2019). An efficient authentication and secure vehicle-to-vehicle communications in an IoV. In 2019 IEEE 89th vehicular technology conference (VTC2019-Spring) (pp. 1–5).
   Google Scholar
• Venkatramana, D. K. N., Srikantaiah, S. B., & Moodabidri, J. (2017). SCGRP: SDN-enabled connectivity-aware geographical routing protocol of VANETs for urban environment. IET Networks, 6(5), 102–111. https://doi.org/10.1049/ntw2.v6.5
   Google Scholar
• Wang, C., Zhang, L., Li, Z., & Jiang, C. (2018). SDCoR: Software defined cognitive routing for internet of vehicles. IEEE Internet of Things Journal, 5(5), 3513–3520. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Wang, D., Zhang, Q., Liu, J., & Yao, D. (2019). A novel QoS-awared grid routing protocol in the sensing layer of internet of vehicles based on reinforcement learning. IEEE Access, 7, 185730–185739. https://doi.org/10.1109/Access.6287639
   Web of Science ®Google Scholar
• Wang, L.-L., Gui, J.-S., Deng, X.-H., Zeng, F., & Kuang, Z.-F. (2020). Routing algorithm based on vehicle position analysis for internet of vehicles. IEEE Internet of Things Journal, 7(12), 11701–11712. https://doi.org/10.1109/JIoT.6488907
   Web of Science ®Google Scholar
• Wang, Y., & Li, F. (2009). Vehicular ad hoc networks. In Guide to wireless ad hoc networks (pp. 503–525). Springer.
   Google Scholar
• Wu, H., Tang, H., & Dong, L. (2014). A novel routing protocol based on mobile social networks and internet of vehicles. In International conference on internet of vehicles (pp. 1–10).
   Google Scholar
• Xiao, L., Han, D., Weng, T.-H., Chen, S., Deng, H., Souri, A., & Li, K.-C. (2023). An evolutive framework for server placement optimization to digital twin networks. International Journal of Communication Systems, 36(14), e5553. https://doi.org/10.1002/dac.v36.14
   Web of Science ®Google Scholar
• Xiao, T., Han, D., He, J., Li, K.-C., & de Mello, R. F. (2021). Multi-keyword ranked search based on mapping set matching in cloud ciphertext storage system. Connection Science, 33(1), 95–112. https://doi.org/10.1080/09540091.2020.1753175
   Web of Science ®Google Scholar
• Xu, W., Zhou, H., Cheng, N., Lyu, F., Shi, W., Chen, J., & Shen, X. (2017). Internet of vehicles in big data era. IEEE/CAA Journal of Automatica Sinica, 5(1), 19–35. https://doi.org/10.1109/JAS.2017.7510736
   Google Scholar
• Xu, Z., Liang, W., Li, K.-C., Xu, J., & Jin, H. (2021). A blockchain-based roadside unit-assisted authentication and key agreement protocol for internet of vehicles. Journal of Parallel and Distributed Computing, 149, 29–39. https://doi.org/10.1016/j.jpdc.2020.11.003
   Web of Science ®Google Scholar
• Yang, F., Wang, S., Li, J., Liu, Z., & Sun, Q. (2014). An overview of internet of vehicles. China Communications, 11(10), 1–15. https://doi.org/10.1109/CC.2014.6969789
   Web of Science ®Google Scholar
• Yu, L., Duan, Y., & Li, K.-C. (2021). A real-world service mashup platform based on data integration, information synthesis, and knowledge fusion. Connection Science, 33(3), 463–481. https://doi.org/10.1080/09540091.2020.1841110
   Web of Science ®Google Scholar
• Zhang, S., Hu, B., Liang, W., Li, K.-C., & Gupta, B. B (2023). A caching-based dual k-anonymous location privacy-preserving scheme for edge computing. IEEE Internet of Things Journal, 10(11), 9768–9781.
   Web of Science ®Google Scholar
• Zhang, S., Hu, B., Liang, W., Li, K.-C., & Pathan, A.-S. K (2023). A trajectory privacy-preserving scheme based on transition matrix and caching for IIoT. IEEE Internet of Things Journal.
   PubMedGoogle Scholar
• Zhao, L., Zhao, W., Al-Dubai, A., & Min, G. (2019). A novel adaptive routing and switching scheme for software-defined vehicular networks. In ICC 2019–2019 IEEE international conference on communications (ICC) (pp. 1–6).
   Google Scholar