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Application of Hybrid Meta-Heuristic Algorithm for OLSR Protocol Optimization in VANET

Author : Ratna Gautami, R.R Sedamkar and Harshali Patil

Pages : 755-759
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The aim of VANET is to establish a vehicular communication system which is trustworthy and fast which caters to road safety. In VANET where network fragmentation is frequent with no central control, routing becomes a challenging task. Planning an optimal routing plan for tuning parameter configuration of routing protocol for setting up VANET is very crucial. Optimized Link State Routing Protocol (OLSR) is one of a famous proactive protocol used in VANETs. This paper evaluates OLSR routing protocol to better performance. OLSR protocol performs well in networks having frequent changing topology of nodes, as it can easily adapt in such environments. This is done by defining an optimization problem where hybridization of meta-heuristics is defined. The paper contributes the idea of combining Genetic Algorithm and Simulated Annealing algorithm (hybrid GA-SA) to enhance the performance of individual search method for optimization problem. In the experiments, tuned OLSR configurations results are more consistent due to better Quality of service (QoS) and communication efficiency than the standard making it fitting for utilization in VANET configurations.

Keywords: Genetic Algorithm, Simulated Annealing, Hybridization, Meta-heuristic, OLSR, VANET

Article published in International Journal of Current Engineering and Technology, Vol.6, No.3 (June-2016)


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