ABSTRACT

An energy-saving geographic routing is a crucial problem when trying to increase QoS and network life. In order for their adjacent neighbours to be able to reach effective routing performance, geographical routing nodes are necessary. However, the network's lifetime for efficient transmission has not been improved. In order to dynamically regulate the frequency of the position updates according to node movement dynamics, an updated position strategy for geographical routing is implemented. Various optimized geographical routing protocols have been designed to prevent interference between nodes, so that the data transmission did not improve easily. Nodes cannot easily save energy when transmitting data, which results in reduced network lifetime. On other hand, the reduction in the packet delivery ratio affects the overall throughput of the network. Anevolutionary technique based on geographical routing technology is introduced in this work to address the above limitations in current methods. To adopt evolutionary algorithms on Geographic Routing Protocol (GRP) to find optimal routing paths with reduced energy consumption and increased network lifetime. The work also carries out effective ways to avoid latency in delivering the packets from source to destination nodes.

Keywords: : MANET, Geographic Routing Protocol, Evolutionary Technique, Optimization