Abstract
Clustering is one of the challenging technologies in vehicular networks to decrease data congestion and enhance network scalability. It is believed that the clustering approach most adaptive to the mobility features of the vehicles will achieve best stability performance. In this paper, VTCP (Traffic-based Clustering Protocol for VANETs), a clustering protocol based on traffic flow states, is proposed. It defines different cluster formation and maintenance operations, as well as dynamic transmission range for different traffic flow states. Simulation results show its performance advantages in cluster stability.
This work is partially funded by the National Science Foundation Projects (Grant No. 61300183 and 61271185) and the National Science Fund for Distinguished Young Scholars (Grant No. 61425012) in China.
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Al-Sultan, S., Al-Doori, M.M., Al-Bayatti, A.H., Zedan, H.A.: A comprehensive survey on vehicular Ad Hoc network. J. Netw. Comput. Appl. 37(1), 380–392 (2014)
Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., Weil, T.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun. Surv. Tutorials 13(4), 584–616 (2011)
Wang, S., Fan, C., Hsu, C.H., et al.: A vertical handoff method via self-selection decision tree for internet of vehicles. IEEE Syst. J. 10(3), 1183–1192 (2016)
Su, H., Zhang, X.: Clustering-based multichannel MAC protocols for QoS provisionings over vehicular ad hoc networks. IEEE Trans. Veh. Technol. 56(6), 3309–3323 (2007)
Konstantopoulos, C., Gavalas, D., Pantziou, G.: Clustering in mobile ad hoc networks through neighborhood stability-based mobility prediction. Comput. Netw. 52(9), 1797–1824 (2008)
Bali, R.S., Kumar, N., Rodrigues, J.J.P.C.: Clustering in vehicular Ad Hoc networks: taxonomy, challenges and solutions. Veh. Commun. 1(3), 134–152 (2014)
Hossain, E., Chow, G., Leung, V.C.M., et al.: Vehicular telematics over heterogeneous wireless networks: a survey. Comput. Commun. 33(7), 775–793 (2010)
Nagel, R.: The effect of vehicular distance distributions and mobility on VANET communications. IEEE Intell. Veh. Symp. 23(3), 1190–1194 (2010)
Kerner, B.S.: Introduction to Modern Traffic Flow Theory and Control: The Long Road To Three-Phase Traffic Theory. Springer, Heidelberg (2009)
Kerner, B.S.: Three-phase traffic theory and highway capacity. Phys. A: Stat. Mech. Appl. 333, 379–440 (2004)
Shi, Y., Lu, C.K., Qiao, L.Q., Chen, S.Z.: Exploring mobility metrics quantitatively for vehicular networks based on three-phase traffic theory. In: IEEE International Conference on Connected Vehicles and Expo. 2015 (ICCVE 2015), October 2015
Shi, Y., Xu, X., Lu, C.K., Chen, S.Z.: Distributed and weighted clustering based on d-hop dominating set for vehicular networks. KSII Trans. Internet Inf. Syst. 10(4), 1661–1678 (2016)
Rituparna, G., Stefano, B.: Mitigating the impact of node mobility on ad hoc clustering. Wirel. Commun. Mob. Comput. 8(3), 295–308 (2008)
Parekh, A.K.: Selecting routers in ad-hoc wireless networks. In: IEEE International Telecommunications Symposium, pp. 420–424 (1994)
Basu, P., Khan, N., Little, T.D.C.: A mobility based metric for clustering in mobile ad hoc networks. In: IEEE International Conference on Distributed Computing Systems Workshop, pp. 413–418 (2001)
Er, I.I., Seah, W.K.G.: Mobility-based d-hop clustering algorithm for mobile ad hoc networks. In: IEEE Wireless Communications and Networking Conference (WCNC 2004), pp. 2359–2364 (2004)
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Yan, S., Changkai, L., Xiaohong, H., Meilian, L., Liqiang, Q., Shanzhi, C. (2016). VTCP: A Clustering Protocol Based on Traffic Flow States for Vehicular Networks. In: Hsu, CH., Wang, S., Zhou, A., Shawkat, A. (eds) Internet of Vehicles – Technologies and Services. IOV 2016. Lecture Notes in Computer Science(), vol 10036. Springer, Cham. https://doi.org/10.1007/978-3-319-51969-2_9
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DOI: https://doi.org/10.1007/978-3-319-51969-2_9
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