Proceedings of the 7th annual international conference on Mobile computing and networking
Introduction to algorithms
Combining convergence and diversity in evolutionary multiobjective optimization
Evolutionary Computation
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Applications of k-Local MST for Topology Control and Broadcasting in Wireless Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
The maximin fitness function: multi-objective city and regional planning
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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In this paper, we address the problem of topology control in wireless sensor networks (WSNs). Taking energy consumption and reliability into account, we consider topology control to be a problem of multi-objective degree-constrained minimum spanning tree (mcd-MST) and present an improved discrete particle swarm optimization (PSO) algorithm for generating such topology schemes. The simulation results compared with genetic algorithm (GA) show that this algorithm could obtain higher robust structure and lower contention topology schemes.