Optimal clustering Using Genetic Algorithm in Heterogeneous WSN

Abstract

Recent advancements in wireless communication technology allowed rapid growth of wireless sensor networks (WSNs). WSN contains minute electronic devices that are called sensor nodes(SN). WSNs covers many areas like health care, environmental observation, industrial monitoring, battle fields and in security. SN exchange information with each other under transmission policies. SN are low dormant and energy reticent appliances; so the energy-saving routing protocols are the pre-eminent objective. To overcome these issues, we have suggested a new energy efficient and scalable routing scheme which uses Genetic Algorithm to get optimal solutions. The proposed scheme reduces the energy usage and elongate the lifetime of WSN. Keywords: Direct Transmission (DTS), (CTS), Energy Neutral Operation (ENO), Global Positioning System (GPS). Genetic Algorithm (GA).