To Maximize Energy Efficiency in WSN Using ACO

Abstract

The use of wireless sensor networks (WSNs) is very common and frequently required for diverse set of applications such remote monitoring, forecasting, security etc. Since from the last two decades, the most widely studied research problem in WSNs is network lifetime performance due to the limitations on battery of sensor nodes. There are some recent techniques presented to solve problem of maximizing the WSNs lifetime under the different domains. However, energy efficiency is still the open research problem for WSNs. The optimization method called ant colony optimization (ACO) shown the promising performance for improving the energy efficiency in WSNs recently. With this motivation, in this paper, we are presenting the modified ACO based routing method with goal of maximizing network lifetime of WSNs and energy efficiency. The proposed application is based on technique of two contributions, first is searching maximum disjoint connective covers in order to satisfy the requirement of network connectivity as well as sensing coverage. This solves the problem of searching and network connectivity and hence improves the energy efficiency using ACO. Secondly, we contributed by using optimum path selection for data transmission by considering the energy constraints of sensor nodes based on set of pre-defined rules. This helps to improve network lifetime of WSNs. The results shows that performance of proposed ACO method is better as compared to previous variants of ACO.