Title: Load-balanced CDS construction in wireless sensor networks via genetic algorithm

Authors: Jing He; Shouling Ji; Mingyuan Yan; Yi Pan; Yingshu Li

Addresses: Department of Computer Science, Georgia State University, Atlanta, Georgia 30303, USA. ' Department of Computer Science, Georgia State University, Atlanta, Georgia 30303, USA. ' Department of Computer Science, Georgia State University, Atlanta, Georgia 30303, USA. ' Department of Computer Science, Georgia State University, Atlanta, Georgia 30303, USA. ' Department of Computer Science, Georgia State University, Atlanta, Georgia 30303, USA

Abstract: A Connected Dominating Set (CDS) is used as a virtual backbone for Wireless Sensor Networks (WSNs). Most existing works focus on a Minimum CDS (MCDS), a k-connect m-dominating CDS, a minimum routing cost CDS or a bounded-diameter CDS, ignoring the load-balance factor of CDSs. In this paper, we propose a novel problem – the Load-Balanced CDS (LBCDS) problem, in which constructing an LBCDS and load-balancedly allocating dominatees to dominators are investigated simultaneously. A Genetic Algorithm based strategy called LBCDS-GA is proposed to construct an LBCDS. Building an LBCDS and load-balancedly allocating dominatees to dominators can prolong network lifetime through balancing the workloads of all the dominators. Through extensive simulations, we demonstrate that our proposed methods extend network lifetime by 65% on average compared with the best and latest MCDS construction algorithm.

Keywords: wireless sensor networks; WSNs; wireless networks; genetic algorithms; load balancing; energy efficiency; reliability; minimum CDS; connected dominating set; MCDS; simulation.

DOI: 10.1504/IJSNET.2012.046331

International Journal of Sensor Networks, 2012 Vol.11 No.3, pp.166 - 178

Available online: 04 Apr 2012 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article