An Energy Efficient Glowworm Swarm Optimized Opportunistic Routing in MANET
A mobile ad-hoc network (MANET) is a decentralized network where the MN is moved randomly. Every mobile node (MN) in network is joined wirelessly. Owing to random movement of MN in network, energy efficient routing is major issues because the MN has lesser battery power. Energy Efficient Glowworm Swarm Optimization based Opportunistic Routing (EEGWSO-OR) technique is designed to improve routing in MANET. Initially the numbers of glowworms (i.e., mobile nodes) are randomly created. Each glowworm has luminescence quantity (i.e., energy) called luciferin. For opportunistic routing process, MN chooses nearest node to transfer the data packets. The fitness of each mobile is computed for selecting the optimal one with the threshold energy level. This assists to enhance network lifetime (NL). After finding the energy optimized node, the neighboring node is determined using stepwise regression by transmitting the route request and reply messages. Followed by, route path from source to destination is determined with minimum distance. The data packets (DP) are transmitted after the route discovery process, to destination MN without any duplicate transmission. This assists in enhance the data packet delivery and lessens the routing overhead (RO). Experimental analysis is performed with diverse parameters namely energy consumption (EC), NL, data packet delivery ratio (DPDR) and RO with number of MN and DP. The simulation outcome evident that EEGWSO-OR improves the NL, DPDR and lessens EC and RO as evaluated with conventional methods.
KeywordsMANET Routing Energy consumption Glowworm Swarm Optimization Route discovery Stepwise regression
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