PERFORMANCE EVALUATION OF ENHANCED ROUTING DISCOVERY UNDER DIFFERENT MOBILITY MODELS IN MANETs

Broadcasting is a basic data dissemination technique, which has a number of applications such as address resolution, route discovery, as well as many other network services. While data broadcasting has many advantages, it introduces some problems known as broadcast storm problems, which causing a lot of contention, redundant retransmission and collision. In this paper our objective is to reduce the number of retransmission in the broadcast as well as to obtain less number of collisions in the network. An appropriate probabilistic broadcast method can attain high save rebroadcast and low collision. In this paper, we propose a probabilistic approach that calculates the rebroadcast probability according to the number of neighbour’s nodes distributed in the ad hoc network for routing request packets (RREQs). The performance of the proposed approach is investigated and compared with the simple AODV, adjusted probabilistic flooding [4,7] and dynamic probabilistic flooding [13] using the GloMoSim network simulator under waypoint mobility model. Simulation results show our improved approach performs better than simple flooding, adjusted probabilistic flooding [4,7] and dynamic probabilistic flooding [13]. The simulation results reveal that the proposed approach demonstrates better performance than the existing approaches.