Simulation Analysis of OLSR and Its Variant with Cooperative MPR Selection on NS-2.35 in Mobile Ad-Hoc Networks

Abstract

Mobile Ad-Hoc networks (MANETs) can be classified as Decentralized, Independent and Self-Organizing dynamic networks of intellectual movable nodes. In such networks, devices are connected by provisional wireless links. Dynamic topology imposes challenges in developing an efficient routing protocol, for enabling successful communication between mobile devices. Based on the nature of working, proactive & reactive protocols are the two broadly classified categories of routing protocols. This paper presents, relative experimental analysis of proactive routing protocols viz., Optimized Link State Routing Protocol (OLSR) and its variant with Cooperative Multi-Point Relay (MPR) Selection. To compare OLSR and its variant protocol, the Network Simulator-2.35 is used to carry out numerous simulations, on arbitrary scenarios, by varying the number of network nodes & mobility of nodes. As per the simulation outcomes, the OLSR with a cooperative MPR selection has outperformed the traditional OLSR protocol in static scenarios or when the network load has been varied. On the contrary, the traditional OLSR protocol has performed better in mobile scenarios. But, as demonstrated from various experimentations, it exhibits higher Routing Overheads as compared to its variant protocol. Further, on the basis of simulation results, efforts can be made in the direction of performance optimization of OLSR and its variant protocol, to improve its performance in highly mobile scenarios as well, keeping in view other performance metrics.

A Multi QoS Genetic-based Adaptive Routing in Wireless Mesh Networks with Pareto Solutions

“…They generated both fuzzy minimum spanning tree (FMST) for a given n-nodes network and p-node fuzzy multicast minimum spanning tree (pFMMST), in fuzzy interval based format and concluded that, pFMMST is better FMST based packet routing approach. The work in [17] [18] utilized GA to identify an optimal reliable ordered routing paths between source and destination nodes in mobile Ad hoc networks. In [19], authors developed a new energy efficient routing protocol using Fuzzy logic inspired by Ant Colony Optimization (ACO).…”