REWEIGHTED GAUSSIAN CORRELATIVE BOOST CLUSTERING FOR STALE ROUTE ELIMINATION IN MANET

Abstract

A Mobile ad hoc network (MANET) is a mobile node network that communicates directly within the range of radio communication. MANET topology is highly dynamic in nature so that the rate of link failure may increase. Therefore, the stable route identification is one of the significant issues for viable communication. In order to improve the routing stability, a Reweighted Gaussian Correlative Boost Clustering Based Stale Route Elimination (RGCBC-SRE) technique is introduced. Two procedures, such as path exploration and route maintenance are part of the RGCBC-SRE system. At first, multiple routes are established by distribution of request and reply control packets between the source and destination nodes. Then, the Reweighted Gaussian Correlative Boost Clustering technique is applied for route discovery with minimum hop counts. For every selected route, the status of the node is calculated in terms of residual energy and signal power.  Based on the node status, the route paths are ranked. Then the high ranked routes are selected and removed the other routes from the cache for further processing. The route maintenance is performed through the estimation of link connectivity between the nodesIf there is a connection failure, the error packet is distributed to each routing node. The stalled route will then be removed from the cache and the alternative route will be chosen. It helps improve the distribution of goods and reduces the wait.  The RGCBC-SRE technique is evaluated with metrics namely routing overhead, packet delivery ratio, packet drop rate, and delay.