Parameters tuning of OLSR routing protocol with metaheuristic algorithm for VANET

Abstract

Vehicular Adhoc Network provides ability to wirelessly communicate between vehicles. Network fragmentations and frequent topology changes (Mobility of the nodes) and limited coverage of Wi-Fi, are issues in VANET, that arise due to absence of central manager entity. Because of these reasons, routing the packets within the network is difficult task. Hence, provisioning an adept routing strategy is vital for the deployment of VANETs. The optimized link state routing is a well-known mobile adhoc network routing protocol. In this paper, we are proposing an optimization strategy to fine-tune few parameters by configuring the OLSR protocol using metaheuristic method. We considered some of the quality parameters such as packet delivery ratio, latency, throughput and fitness value for fine tuning OSLR protocol. Then we made Comparison of genetic algorithm, particle swarm optimization algorithm by using QoS parameters. We implemented our work on Red Hat Enterprise Linux 6 platform. And results are shown by simulations using VanetMobiSim and NS2 simulators; the fine-tuned OSLR protocol behaves better than the original routing protocol with intelligence and optimization configuration.Keywords-Optimized link state routing (OSLR); particle swarm optimization (PSO); Quality of service (QoS); Vehicular Adhoc Network (VANET); Mobile Adhoc Networks (MANETs)I.

Bio‐inspired metaheuristic framework for clustering optimisation in VANETs

“…These frameworks can be classified to mono‐objective or multi‐objective optimisation‐based frameworks. In the mono‐objective optimisation‐based frameworks, the parameter optimisation problem is converted into a mono‐objective problem by calculating the fitness function as a formula of the different objectives [10–16]. Alternatively, a multi‐objective optimisation algorithm considers different conflicting objectives and produces a set of Pareto optimal solutions that can be exploited to select the preferable trade‐off [5].…”

Enhanced Routing Protocol for VANET

“…Dynamic choice mechanism is used by LDSR protocol in order to constraint query to a small region and full flooding localization which is based on original DSR protocol and constrained by two factors: (1) the small-world theory determines the maximum number of hops of query localization flooding ; (2) mobile critical transmitting range determines the effective routing time for connectivity in Ad Hoc network and the maximum mobile speed of node. simulation results have shown that LDSR protocol can produce better average end-to-end delay ,but packet delivery fraction decreased as compared to DSR protocol Anusha bandi and Chandrashekhar [7]have proposed an optimization strategy in order to fine-tune few metrics like delay, packet delivery ratio by enhancing the OLSR protocol with the help of particle swarm optimization. The few metrics has been taken into account in order to compare the values of fitness,packet delivery ratio and throughput.In the end particle swarm optimization algorithm has been compared with genetic algorithm by taking into account QoS parameters.…”