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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 985410, 14 pages
http://dx.doi.org/10.1155/2013/985410
Research Article

A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks

1College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
2College of Computer, National University of Defense Technology, Changsha 410073, China
3School of Computer Science, Colorado Technical University, Colorado Spring, CO 80907, USA

Received 6 January 2013; Accepted 15 March 2013

Academic Editor: Hongju Cheng

Copyright © 2013 Wenzhong Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Topology control is one of the most fundamental problems in WSNs. To overcome high connectivity redundancy and low structure robustness in traditional methods, a PSO-optimized minimum spanning tree-based topology control scheme is proposed in this paper. In the proposed scheme, we transform the problem into a model of multicriteria degree constrained minimum spanning tree (mcd-MST) and design a nondominated discrete particle swarm optimization (NDPSO) to deal with this problem. To obtain a better approximation of true Pareto front, the multiobjective strategy with a fitness function based on niche and phenotype sharing function is applied in NDPSO. Furthermore, a topology control scheme based on NDPSO is proposed. Simulation results show that NDPSO can converge to the non-dominated front quite evenly, and the topology derived under the proposed topology control scheme has lower total power consumption, higher robust structure, and lower contention among nodes.