A Load-Balancing Approach for Congestion Adaptivity in MANET

The explosive growth of multimedia data and real time applications have put unexpected load on network and have increased congestion in network, which occurs due to flooding of packets to intermediate node and increase in aggregate demand as compared to the accessible capacity of the resources. In mobile adhoc networks (MANETs) congestion, leads to packet loss, transmission delay, bandwidth degradation and also wastes time and energy on congestion recovery and network maintenance. Most of the existing routing algorithms are not designed to adapt to congestion control for busty traffic. In this paper, a load balanced congestion adaptive (LBACA) routing algorithm has been proposed in the metric: traffic density of neighboring nodes have been used to determine the congestion status of the route and the traffic is distributed to the routes according to traffic density. The proposed algorithm has been simulated on Qualnet 4.5 simulation tool.