Title :
A PSO-based k-connected fault-tolerant topology control algorithm for WSNs
Author :
Guo, Wenzhong ; Chen, Zhen ; You, Binyu ; Chen, Guolong
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
Fault tolerant topology control is a critical problem in wireless sensor networks (WSNs). This paper proposes a PSO-based k-connected fault-tolerant topology control algorithm based on particle swarm optimization (PSO), called KFTC-PSO. This algorithm takes both the issues of node failure and power efficient into consideration. We also give the mathematical model of the k-connected fault-tolerant topology control problem and incorporate the principles of mutation and crossover operator in genetic algorithm (GA) to achieve a better diversity and break away from local optima. The simulation results show that this proposed algorithm is efficient.
Keywords :
genetic algorithms; particle swarm optimisation; telecommunication network reliability; telecommunication network topology; wireless sensor networks; GA; KFTC-PSO; PSO-based k-connected fault-tolerant topology control algorithm; WSN; crossover operator; genetic algorithm; mathematical model; node failure; particle swarm optimization; power efficiency; wireless sensor networks; Algorithm design and analysis; Fault tolerance; Fault tolerant systems; Network topology; Particle swarm optimization; Topology; Wireless sensor networks; fault tolerant; particle swarm optimization; topology control; wireless sensor network;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234514