Affiliation:
1. College of Information Science and Technology, Shihezi University, Shihezi, China
Abstract
The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA) strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints.
Funder
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering