Improved Clustering-Based Energy Optimization with Routing Protocol in Wireless Sensor Networks

Abstract

For designing any type of WSN with main parameters like rate of convergence, hop count, lifetime of network, consumption of energy, area for coverage in recent technology of wireless network. So this paper deals with the network coverage and energy optimization of the network.In large deployed network the transmission range is vital for data transmitting, this area coverage of the cluster can be within the transmission range using Glowworm Swarm Optimization (GSO) based clustering (GSO-C), network lifetime constraint can be optimized using the novel routing algorithm enhanced energy optimization based Ant Swarm optimization (EEO-ASO) that uses AH-HEED (adaptive heterogeneous- hybrid energy efficient distributed clustering) protocol for routing. The performance of clustering technique and routing algorithm has been represented in graphs.