Abstract
In recent years, the use of information-centric networks (ICNs) within vehicular ad hoc networks (VANETs) has been shown to be a favourable and deployable future Internet paradigm. Within the context of VANETs, the use of ICNs has many advantages. Indeed, ICNs offer the benefit of in-network content caching and strategies. In addition, ICNs accelerate content retrieval based on the caching of different nodes. Cache deployment within VANETs can be performed at low cost and with low energy consumption. However, the use of ICNs within the VANET context may be challenging. In fact, it may impact network mobility and continuity. Thus, traditional clustering algorithms are not suitable in the context of ICN-based VANETs. In this paper, we propose a new clustering-based approach integrating ICN, called VC-ICN. The aim of our approach is to guarantee network continuity without impacting its mobility when the ICN paradigm is used. We show through simulation, considering scenarios in real-world contexts, that VC-ICN allows vehicles to enhance their content delivery ratio, the average delay for content delivery and the transmission overhead.
Similar content being viewed by others
References
Jmal R, Fourati L (2016) An openflow architecture for managing content-centric-network (ofam-ccn) based on popularity caching strategy. Comput Stand Interfaces 51:11
Jmal R, Fourati L (2017) Emerging applications for future internet approach based-on sdn and icn. 208–213, 10
Grassi G, Pesavento D, Pau G, Vuyyuru R, Wakikawa R, Zhang L (2014) Vanet via named data networking. 410–415, 04
Huang W, Song T, Yang Y, Zhang Y (2019) Cluster-based cooperative caching with mobility prediction in vehicular named data networking. IEEE Access PP:1–1, 02
Huang W, Song T, Yang Y, Zhang Y (2018) Cluster-based selective cooperative caching strategy in vehicular named data networking. 7–12, 08
Dong L, Li R (2018) Topic based clustering of vehicles for information retrieval and sharing. 256–261, 07
Kalogeiton E, Kolonko T, Braun T (2017) A multihop and multipath routing protocol using ndn for vanets. 1–8, 06
Amadeo M, Campolo C, Molinaro A (2013) Enhancing content-centric networking for vehicular environments. Comput Netw Int J Comput Telecomm Netw 57:3222–3234, 11
Anastasiades C, Weber J, Braun T (2016) Dynamic unicast: Information-centric multi-hop routing for mobile ad-hoc networks. Comput Netw 107:03
Chen C, Li S, Qiu T (2017) A data dissemination scheme based on clustering and probabilistic broadcasting in vanets. 01
Sugumar R, Alwar R, Jayakumar C (2016) Trust based authentication technique for cluster based vehicular ad hoc networks (vanet). Wirel Netw 24:07
Fatemidokht H, Rafsanjani MK (2020) Qmm-vanet: An efficient clustering algorithm based on qos and monitoring of malicious vehicles in vehicular ad hoc networks. Journal of Systems and Software 165:110561
Khan A, Abolhasan M, Ni W (2017) An evolutionary game theoretic approach for stable and optimized clustering in vanets. IEEE Trans Veh Technol 12
Alsuhli G, Khattab A, Fahmy Y (2019) Double-head clustering for resilient vanets. Wirel Commun Mob Comput 2019:1–17, 03
Senouci O, Aliouat Z, Harous S (2019) Mca-v2i: A multi-hop clustering approach over vehicle-to-internet communication for improving vanets performances. Future Gener Comput Syst 96:309–323
Ozera K, Bylykbashi K, Liu Y, Barolli L (2018) A fuzzy-based approach for cluster management in vanets: Performance evaluation for two fuzzy-based systems. Internet Things 3-4:120–133
Abbas F, Fan P (2018) Clustering-based reliable low-latency routing scheme using aco method for vehicular networks. Veh Commun 12:66–74, 02
Elhoseny M, Shankar K (2020) Energy efficient optimal routing for communication in vanets via clustering model. Emerg Technol Connect Intern Veh Intell Transport Syst Netw 2011:1–14, 01
Bao X, Li H, Zhao G, Lv C, Zhou J, Li Y (2020) Efficient clustering v2v routing based on pso in vanets. Measurement 152:107306
Khan M, Aadil F, Rehman Z, Khan S, Shah DPA, Muhammad K, Lloret J, Wang H, Lee J, Mehmood I (2018) Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Comput Electr Eng 02
Mukhtaruzzaman M, Atiquzzaman M (2020) Clustering in vehicular ad hoc network Algorithms and challenges. Comput Electr Eng 106851:88
Hussain I, Bingcai C (2017) Cluster formation and cluster head selection approach for vehicle ad-hoc network (vanets) using k-means and floyd-warshall technique. Int J Adv Comput Sci Appl 8:01
Behrisch M, Bieker-Walz L, Erdmann J, Krajzewicz D (2011) Sumo – simulation of urban mobility: An overview. 2011, 10
Zilske M, Neumann A, Nagel K (2011) Openstreetmap for traffic simulation. 126–134 07
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Fourati, L.C., Ayed, S. & Rejeb, M.A.B. ICN clustering-based approach for VANETs. Ann. Telecommun. 76, 745–757 (2021). https://doi.org/10.1007/s12243-021-00882-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12243-021-00882-8