Vehicular Ad-hoc NETworks (VANETs) is very important in the field of Intelligent Transportation system (ITS) for enhancing the safety of road. The communication between the vehicles will be covered under the VANETs. A lot of research works are there in the area of VANET development. The common problem that arises is achieving multi-constrained Quality of Service metrics. In order to solve this problem, this paper derives a cost model for vehicle routing problem by considering the network quality metrics such as travel cost, collision, congestion and the awareness about quality of service (QoS). The QoS awareness is fuzzified into cost model to include in the total routing cost. Since the routing cost model is a minimization function, a recently introduced bio-inspired optimization algorithm called as lion algorithm (LA) is used to solve it. The performance is investigated using three renowned analyses such as convergence analysis, cost analysis and complexity analysis. The simulated results obtained using MATLAB are compared with the existing Genetic algorithm (GA) based solution. It is found that the Lion algorithm performs better than the GA with decrease in routing cost and complexity.


    Access

    Download


    Export, share and cite



    Title :

    Optimal Route Selection for Vehicular Adhoc Networks using Lion Algorithm


    Contributors:

    Publication date :

    2019-08-07


    Remarks:

    Journal of Engineering Research; Vol 7 No 3 (2019) ; 2307-1885 ; 2307-1877


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Vehicular Adhoc Networks: A Review

    Marwah, Gagan Preet Kour / Jain, Anuj | Springer Verlag | 2023


    A Study of Vehicular Adhoc Networks

    Rajput, Sakshi / Nidhi | IEEE | 2019



    Instantly Decodable RaptorQ Intersessions in Vehicular Adhoc Networks

    Vineeth Nandhini / Guruprasad H. S. | DOAJ | 2020

    Free access

    CARAVAN: a communications architecture for reliable adaptive vehicular adhoc networks

    Blum,J. / Eskandarian,A. / George Washington Univ.,US | Automotive engineering | 2006