Abstract—In recent years to improve the conventional vehicular ad-hoc network performance an intelligent incorporated vehicle are introduced. Designing of prediction based multi-hop clustering approach for VANET is a major challenge due to the dynamic change of network and link capacity. Several earlier proposed models do not consider the mobility characteristics, the dynamic topology and the limited driving direction of VANET and they do not consider the energy problems. The main aim of the paper is to discuss about the routing based on link stability and to increase the coverage area of the cluster to improve the mobility characteristics and the energy efficiency of the VANET. The summarized studies about both the category are discussed in order to improve the link stability, energy efficiency, network lifetime, data aggregation, Quality of service, load balancing and multipath. A systematic comprehensive survey has been conducted for link stability and energy efficient clustering based routing protocols reported from 2012 to 2018. By the help of the survey, a technical direction is provided to the researchers about the pros and cons of the earlier studies. To fulfil the research gap, a novel methodology is introduced which is the prediction based efficient multi-hop clustering approach with adaptive relay node selection for VANET. The model consists of four layers. They are multi-hop clustering algorithm, prediction based clustering approach, adaptive link selection method and improved routing protocol.

 

Index Terms—VANET, Link stability, Energy efficient clustering, multi-hop, adaptive relay node selection, routing protocol

Cite: Sami Abduljabbar Rashid, Lukman Audah, Mustafa Maad Hamdi, and Sameer Alani, "Prediction Based Efficient Multi-hop Clustering Approach with Adaptive Relay Node Selection for VANET," Journal of Communications vol. 15, no. 4, pp. 332-344, April 2020. Doi: 10.12720/jcm.15.4.332-344

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