USED ENERGY AVOIDANCE IN WIRELESS SENSOR NETWORK USING SCHEDULING SCHEME

Abstract

This paper aims to identify optimal deployment locations of the given sensor nodes with a
pre-specified sensing range, and to schedule them such that the network lifetime is maximum
with the required coverage level. Since the upper bound of the network lifetime for a given
network can be computed mathematically, this knowledge is used to compute locations of
deployment such that the network lifetime is maximum paper. In this paper ultimate goal is to
realize an automated monitoring network so that detection applications of various emergency
events can be practically implemented. Further, the nodes are scheduled to achieve this upper
bound. This proposed system uses artificial bee colony algorithm and particle swarm
optimization for sensor deployment problem followed by a heuristic for scheduling. In
addition, ANT colony optimization technique is used to provide maximum network lifetime
utilization. The comparative study shows that artificial ACO performs better than bee colony
algorithm for sensor deployment problem. The proposed heuristic was able to achieve the
theoretical upper bound in all the experimented cases.