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It takes advantage of the Hamming distance technique to partition a vehicular network into information-centric clusters based on the mobility of vehicular nodes. However, the proposed approach uses a named data network technique to forward network transmissions according to a hybrid communication model of Dedicated Short Range Communication and Mobile Agent. The former focuses on reactive intra-cluster link establishment, while the latter proactively forwards inter-cluster transmissions. A simulation measures the performance of the proposed approach and compares the results with two well-known VANET routing protocols: AODV and A- STAR. According to the simulation results, CNN outperforms the benchmarks in average end-to-end delay, path length, data delivery ratio, and total transmitted traffic, especially when the network is dense and the nodes are highly mobile.",[11,12,13,14,15],"Ardakani, Saeid Pourroostaei","Kwong, Chiew Foong","Kar, Pushpendu","Liu, Qianyu","Li, Lincan",[17,18,19,20,21],"0000-0001-8062-6617","0000-0001-7857-511X","0000-0002-0896-0650","0000-0002-2660-7287","0000-0002-3774-8878",2021,"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3131198","W3216958469","IEEE Access",null,[28,29,30,31,32,33,34,35,36],"Computer science","Computer network","Routing protocol","Network packet","Vehicular ad hoc network","Distributed computing","Wireless ad hoc 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