OPTIMIZING OVERHEAD AND DELAY IN WIRELESS ADHOC NETWORKS USING ADAPTIVE ROUTING

Abstract

In this paper, we propose an opportunistic adaptive distributed routing scheme where the use of control overheads and delay is limited. The enormous proliferation of mobile devices and the exploding use of high volume services using a wireless interface introduce issues like overhead and serious delay or latency problems in mobile networks. Usually in forwarding packets from sender to receiver multiple hops are employed when destination is not within immediate reach.  An opportunistic adaptive distributed routing for multi hop wireless ad hoc network exploits a reinforcement learning methodology to route even in the absence of network statistics and system model which limits delay and overhead problem. A key aspect of the proposed approach is, it draws on short packet transfer delay of proactive routing protocol and less control overheads of reactive routing protocol. This scheme works considering the nodes that are one hop distance away from this the route query packets overhead and flooding time for retrieving network topology information is lowered. A backup route is intended in case of a node failure to further improve delay performance. The analysis shows the improved performance of delay and control overhead parameters in routing scheme.