DYNAMIC CLUSTERING BASED ON MOVILITY OF VEHICLES IN VANET SMART TRANSPORTATION NETWORK
Abstract
Dynamic clustering in VANET based on vehicle mobility is the process of grouping vehicles together based on their location and speed. The purpose of dynamic clustering is to create groups of vehicles that are able to effectively communicate and interact in the network. There are many methods and algorithms used to perform dynamic clustering, including clustering based on connectivity, location, speed, and interaction between vehicles. Each method has its own advantages and limitations, and the choice of the appropriate method depends on the requirements and goals of the system in the VANET. In this paper, a new mobility and stability based clustering scheme is introduced for the urban city scenario. The proposed problem applies the moving direction of the vehicle and the relative position of the link. The simulation results show that our proposed scheme gives better stable performance.
References
O. Kaiwartya, A. H. Abdullah, Y. Cao, A. Altameem, M. Prasad, C.-T. Lin, and X. Liu, ‘‘Internet of vehicles: Motivation, layered architecture, net-work model, challenges, and future aspects,’. IEEE Access, Apr. 2016, vol. 4, pp. 5356-5373.
A. Boukerche and R. Grande, ‘‘Vehicular cloud computing: Architec-tures, applications, and mobility,’’ Comput. Netw., Apr. 2018, vol. 135, pp. 171-189.
R. Shrestha, R. Bajracharya, and S. Y. Nam, ‘‘Challenges of future VANET and cloud-based approaches,’’ Wireless Commun. Mobile Com-put., May 2018, vol. 2018, pp. 1-15.
H. A. Khattak, S. U. Islam, I. U. Din, and M. Guizani, ‘‘Integrating fog computing with VANETs: A consumer perspective,’’ IEEE Commun. Standards Mag., Mar. 2019, vol. 3, no. 1, pp. 19-25.
J. Fukumoto, N. Sirokane, Y. Ishikawa, T. Wada, K. Ohtsuki, and H. Okada, ‘‘Analytic method for real-time traffic problems by using contents oriented communications in VANET,’’ in Proc. 7th Int. Conf. ITS Telecommun., Sophia Antipolis, France, Jun. 2007.
T. Nadeem, S. Dashtinezhad, C. Liao, and L. Iftode, ‘‘TrafficView: Traffic data dissemination using car-to-car communication,’’ ACM SIGMOBILE Mobile Comput. Commun. Rev., Jul. 2004, vol. 8, no. 3, pp. 6-19.
L. Wischhof, A. Ebner, H. Rohling, M. Lott, and R. Halfmann, ‘‘SOTIS–a self-organizing traffic information system,’’ in Proc. 57th IEEE Semian-nual Veh. Technol. Conf. (VTC-Spring), Jeju-do, South Korea, Apr. 2003.
R. Doolan and G. Muntean, ‘‘EcoTrec—A novel VANET-based approach to reducing vehicle emissions,’’ IEEE Trans. Intell. Transp. Syst., Mar. 2017, vol. 18, no. 3, pp. 608-620.
J. Sanguesa, J. Barrachina, M. Fogue, P. Garrido, F. Martinez, J.-C. Cano, C. Calafate, and P. Manzoni, ‘‘Sensing traffic density combining V2V and V2I wireless communications,’’ Sensors, Dec. 2015, vol. 15, no. 12, pp. 31794-31810.
J. Li, Y. Zhang, and Y. Chen, ‘‘A self-adaptive traffic light control system based on speed of vehicles,’’ in Proc. IEEE Int. Conf. Softw. Qual., Rel. Secur. Companion (QRS-C), Vienna, Austria, Aug. 2016, pp. 382-388.
J.-H. Kwon, H. S. Chang, T. Shon, J.-J. Jung, and E.-J. Kim, ‘‘Neigh-bor stability-based VANET clustering for urban vehicular environments,’’ J. Supercomput., Jan. 2016, vol. 72, no. 1, pp. 161-176.
A. Ziagham and M. NooriMehr, ‘‘MOSIC: Mobility-aware single-hop clustering scheme for vehicular ad hoc networks on highways,’’ Int. J. Adv. Comput. Sci. Appl., 2016, vol. 7, no. 9, pp. 424-431.
C. Caballero-Gil, P. Caballero-Gil, and J. Molina-Gil, ‘‘Self-organized clustering architecture for vehicular ad hoc networks,’’ Int. J. Distrib. Sensor Netw., Aug. 2015, vol. 11, no. 8, Art. no. 384869.
L. Rivoirard, M. Wahl, P. Sondi, M. Berbineau, and D. Gruyer, ‘‘CBL: A clustering scheme for VANETs,’’ in Proc. 6th Int. Conf. Adv. Veh. Syst., Technol. Appl., Nice, France, 2017, pp. 19-25.
K. Abboud and W. Zhuang, ‘‘Stochastic modeling of single-hop cluster stability in vehicular ad hoc networks,’’ IEEE Trans. Veh. Technol., Jan. 2016, vol. 65, no. 1, pp. 226-240.
C. Cooper, D. Franklin, M. Ros, F. Safaei, and M. Abolhasan, ‘‘A compar-ative survey of VANET clustering techniques,’’ IEEE Commun. Surveys Tuts., 1st Quart., 2017, vol. 19, no. 1, pp. 657-681.
Y. Allouche and M. Segal, “Cluster-based beaconing pro-cess for {VANET},” Vehicular Communications, 2015, vol. 2, no. 2, pp. 80 - 94.
C. Lin and M. Gerla, “Adaptive clustering for mobile wireless networks,” Selected Areas in Communications, IEEE Journal on, Sep 1997, vol. 15, no. 7, pp. 1265-1275.
Z. Zhang, A. Boukerche, and R. Pazzi, “A novel multi-hop clustering scheme for vehicular ad hoc networks,” in Proceedings of the 9th ACM International Symposium on Mobility Management and Wireless Access, ser. MobiWac ’11. New York, NY, USA: ACM, 2011, pp. 19-26.
S. Ucar, S. C. Ergen and O. Ozkasap, “Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination,” in IEEE Transactions on Vehicular Technology, April 2016, vol. 65, no. 4, pp. 2621-2636.
D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, “Recent development and applications of sumo–simulation of urban mobility,” International Journal On Advances in Systems and Measurements, 2012, vol. 5, no. 3&4.
V. V`eque, F. Kaisser, C. Johnen, and A. Busson, “CONVOY: a new Cluster-based routing Protocol for Vehicular Networks,” in Models and algorithms for vehicular networks, H. Labiod and A. Beylot, Eds. ISTE Publishing Knowledge /John Wiley and Sons Inc, May 2013, pp. 91-102, chapter 4.
B. Hassanabadi, C. Shea, L. Zhang, and S. Valaee, “Clustering in vehicular ad hoc networks using affinity propagation,” Ad Hoc Networks, 2014, vol. 13, Part B, pp. 535-548.
M. Togou, A. Hafid, and L. Khoukhi, “Scrp: Stable cds-based routing protocol for urban vehicular ad hoc networks,” Intelligent Transportation Systems, IEEE Transactions on, vol. PP, no. 99, pp. 1-10, 2016.
M. Banikhalaf and M. A. Khder, “A Simple and Robust Clustering Scheme for La.rge Scale and Dynamic VANETs,” in IEEE Access, vol. 8, pp. 103565-103575, 2020, doi: 10.1109/ ACCESS.2020.2999368.
K. Abboud and W. Zhuang, “Stochastic modeling of single-hop cluster stability in vehicular ad hoc networks,” IEEE Transactions on Vehicular Technology, vol. 65, no. 1, pp. 226-240, Jan 2016.
Network simulator 2 (ns-2), http://isi.edu/nsnam/ns/.
