Performance Investigation on Two-classes of Manet Routing Protocols across Various Mobility Models with Qos Constraints

An ad-hoc network is an aggregation of wireless nodes forming a provisional network without any established infrastructure. To facilitate communication within such network, a routing protocol is used to discover and setup routes between nodes. The goal of the routing protocol is to have an efficient route establishment between a pair of nodes, so that messages can be delivered in a timely manner. This research investigates the effects of various mobility models on QoS metrics for two prominent proactive and reactive MANET routing protocols Fisheye State Routing (FSR) protocol and Ad-hoc On-demand Distance Vector, from Uppsala University (AODVUU) respectively. Performance is measured by the varying number of traffic sources, number of nodes, host velocity, and data sending rate. These two protocols are simulated and compared under different mobility models namely Random Waypoint Mobility Model, Manhattan Grid Mobility Model and Reference Point Group Mobility Model. The performance metrics that are used to evaluate the performance of the routing protocols are Packet delivery ratio (PDR), Average latency of data packets, Network control overhead (NCO) and Throughput. Experimental results reveal that. on-demand routing protocol AODVUU is more sensitive to the speed of mobile nodes than the proactive routing protocol FSR. Due to its proactive nature, FSR can be used in bandwidth and resource critical environment. On the other hand scalability of AODVUU is limited for high-speed network. However, in case of higher data rates AODVUU always performs better in terms of PDR under all three mobility models.