It is well known that Vehicular Adhoc Network(VANET)plays the major role in the field of Intelligent Transport System(ITS)to enhance road safety as well.The entire communication among vehicles is covered in VANETs.Sin...It is well known that Vehicular Adhoc Network(VANET)plays the major role in the field of Intelligent Transport System(ITS)to enhance road safety as well.The entire communication among vehicles is covered in VANETs.Since the number of researches is in progress for the enhancement of VANET model.Usually,the issues arising with this field is the achievement of multi-constrained Quality of Service(QoS)measures.To solve this issue,our paper intends to propose a cost model that considers certain network quality measures like travel,collision,congestion and the awareness about the QoS.Moreover,this paper adopts a renowned algorithm named Water Wave Optimization algorithm(WWO)to find the optimal route.The proposed method analyses its performance over other conventional methods like Lion Algorithm(LA),Genetic Algorithm(GA)and LA with Adaptive Mutation(LAAM)in terms of cost analysis,Convergence analysis and Computational time.Then the analytical results prove the superiority of proposed work in terms of decreased routing cost.展开更多
文摘It is well known that Vehicular Adhoc Network(VANET)plays the major role in the field of Intelligent Transport System(ITS)to enhance road safety as well.The entire communication among vehicles is covered in VANETs.Since the number of researches is in progress for the enhancement of VANET model.Usually,the issues arising with this field is the achievement of multi-constrained Quality of Service(QoS)measures.To solve this issue,our paper intends to propose a cost model that considers certain network quality measures like travel,collision,congestion and the awareness about the QoS.Moreover,this paper adopts a renowned algorithm named Water Wave Optimization algorithm(WWO)to find the optimal route.The proposed method analyses its performance over other conventional methods like Lion Algorithm(LA),Genetic Algorithm(GA)and LA with Adaptive Mutation(LAAM)in terms of cost analysis,Convergence analysis and Computational time.Then the analytical results prove the superiority of proposed work in terms of decreased routing cost.
