A Biologically Inspired Energy-Efficient Duty Cycle Design Method for Wireless Sensor Networks

Jie Zhou

doi:10.1155/2017/3089402

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.

Highlights

Recent technological advances in sensing, nanosystems technologies, and communication have made it possible to equip inexpensive small, low-cost, vulnerable, and fast response sensing units [1]
Simulation results show that the proposed improved elite immune evolutionary algorithm (IEIEA) algorithm outperforms, regarding network lifetime, simulated annealing algorithm (SA) and particle swarm optimization (PSO) with the same computational complexity
We propose an improved elite immune evolutionary algorithm (IEIEA), which is a modification of EA, for energyefficient duty cycle design in wireless sensor networks

Summary

Introduction

Recent technological advances in sensing, nanosystems technologies, and communication have made it possible to equip inexpensive small, low-cost, vulnerable, and fast response sensing units [1]. Wireless sensor networks (WSNs) are composed of some sensors having limited sensing, computing, communication, and self-organizing abilities [2]. The energy-efficient duty cycle design problem has recently attracted the attention of many researchers in the field of wireless sensor networks [5]. Limited by their size, small wireless sensors are equipped with restricted sensing capacity [6]. To have a long network lifetime, energy-efficient duty cycle scheme should be designed properly. Finding the ideal energy-efficient duty cycle design is an NPhard problem. For large-scale wireless sensor networks, the exhaustive search cannot be used to get the ideal duty cycle design in real time [7]

Results

Discussion

Conclusion