IMPROVING SERVICE QUALITY IN VEHICULAR AD HOC NETWORKUSING CUCKOO’S MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

Authors:

Abbas Karimi,Iraj Rezaei,Faraneh Zar Afshan,

DOI NO:

https://doi.org/10.26782/jmcms.2020.03.00009

Keywords:

Ehicular Ad Hoc Network,Service Quality,Multi-Objective Optimization,Cuckoo Search,

Abstract

The vehicular ad hoc network (VANET), as a subset of the Mobile Case Network (MANET), provides the necessary platform for communication between vehicles and roadside equipment. One of the most important applications of the VANET network is to provide the necessary security for the passengers of vehicles and to improve the efficiency of resources in order to optimize the traffic flow. Therefore, providing quality of service (QoS) in this network will play an important role in the accuracy of intelligent transport system operation. In this paper, a new solution to improve the quality of service in VANET networks is presented. In the proposed method, the Cuckoo's search multi-objective optimization algorithm (MOCS) is used to optimize MAC layer parameters. In this method, the criteria of throughput, latency, and packet loss are considered as optimization objectives. The evaluation results of the proposed method show a 68% reduction in the time required to discover the optimal system parameters compared to the exhaustive search algorithm.

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