Node Distribution Optimization in Mobile Sensor Network Based on Multi-Objective Differential Evolution Algorithm

In the research on mobile sensor networks, coverage control is one of the most important challenges. For the sensor network constructed by random distribution, better network coverage can be achieved by topology adjustment utilizing mobility of sensor nodes. This paper investigates how to make use o...

Full description

Saved in:
Bibliographic Details
Published in2010 Fourth International Conference on Genetic and Evolutionary Computing pp. 51 - 54
Main Authors Lizhong Jin, Jie Jia, Dawei Sun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Energy consumption
Mobile communication
Mobile computing
mobile sensor network
multi-objective evolution algorithm
network coverage rate
network sensing consumption
Network topology
Optimization
Sensors
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary:In the research on mobile sensor networks, coverage control is one of the most important challenges. For the sensor network constructed by random distribution, better network coverage can be achieved by topology adjustment utilizing mobility of sensor nodes. This paper investigates how to make use of sensor radius adjustment and the mobility of the sensor nodes to improve the sensor network coverage. A node distribution optimization scheme based on multi-objective differential evolution algorithm is proposed. Simulation results show that the proposed scheme can quickly achieve node distribution optimization of a mobile sensor network, increase the effective coverage rate, reduce network redundant coverage and network energy consumption, extend network lifetime, and achieve global optimization of the deployment of the mobile sensor network.
ISBN:9781424488919
1424488915
DOI:10.1109/ICGEC.2010.21