Improved GWO-CS Algorithm-Based Optimal Routing Strategy in VANET

Abstract

VANETs is a part of MANETs that lay hold of a few important responsibilities in the ITS domain because it offers consistent road safety. Several researchers' deals with the growth on VANET for enhanced routing; however, it undergoes from the severe issue for offering multi-constrained QoS to the network. Then the next solution over this issue, routing cost is solved by in view of the cost of congestion, cost of QoS awareness cost, cost of travel, and cost of collision, while the fuzzification is exploited to estimate the QoS awareness cost. In this paper, an Improved Grey wolf optimization (GSO) and Cuckoo Search (CS) algorithm are exploited in the VANET to take on the decreased routing cost. Additionally, the performance of the proposed Improved GWO-CS method is compared with the conventional methods such as GWO and CS by analyzing the cost of routing, and computational complexity. Hence, the proposed method offers consistent routing with minimized cost and computational complexity.