Hybrid Seagull Optimization Algorithm and Thermal Exchange Optimization for optimal routing in VANET
Keywords:
Optimization Algorithm, Routing, Qos, VANETAbstract
Vehicle Ad-hoc Network (VANET), can setup scalable solutions, cost-efficient and therefore, it is applied in many applications like transportation fields with help of multi-hop wireless communications from vehicle-to-vehicle. On the other hand, due to the rapid change in regular and topology network disconnection, the development of multi-hop communication is considered as challenging task in VANET conditions. In conventional mobile ad-hoc routing protocols, this directs to routing failure or ineffectual. To solve the routing problem and also to obtain the multi-constrained Quality of Service (QoS) measures, many research works are performed in VANET. The main intention of this work is to present a cost model as the solution for the vehicle routing issue and the network quality measures are considered such as travel, congestion, collision, and QoS awareness cost. In complete routing cost, the QoS fuzzification factor is also considered. Moreover, the main aim of this paper is to concentrate on the routing cost model minimization and identifies the optimal route. Here, a new optimization algorithm called Hybrid Seagull Optimization Algorithm (SOA) and Thermal Exchange Optimization (TEO) is presented to recognize the optimal route. Finally, developed technique performance is evaluated against the existing techniques regarding the cost analysis as well as shows efficiency of the adopted model with minimized routing cost.
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