An extensible particles swarm optimization for energy-effective cluster management of underwater sensor networks

Authors:
Mong-Fong Horng;Yi-Ting Chen;Shu-Chuan Chu;Jeng-Shyang Pan;Bin-Yih Liao
Affiliations:
Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan;Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan;Department of Computer Science and Information Engineering, Cheng-Shiu University, Kaohsiung, Taiwan;Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan;Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Year:
2010

Citing 5
Cited 1

Optimization of Sensor Node Locations in a Wireless Sensor Network

ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 05
Minimizing effective energy consumption in multi-cluster sensor networks for source extraction

IEEE Transactions on Wireless Communications
An efficient energy cluster-based routing protocol for wireless sensor networks

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Coverage optimization in wireless mobile sensor networks

WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Ant system: optimization by a colony of cooperating agents

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

A genetic algorithm with elite mutation to optimize cruise area of mobile sinks in hierarchical wireless sensor networks

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Acoustic communication networks in underwater environment are the key technology to explore global ocean. There are major challenges including (1) lack of stable and sufficient power supply, (2) disable of radio frequency signal and (3) no communication protocol designed for underwater environment. Thus, acoustic so far is the only media suitable to operate for underwater communication. In this paper, we study the technology of underwater acoustic communication to support underwater sensor networks. Toward the energy-effective goal, a cluster-based sensor network is assumed. The energy-dissipation of sensor nodes is optimized by biological computing such as Particle Swarm Optimization (PSO). The objective function of sensor node clustering is formulized to constraint on the network coverage and energy dissipation. The problem of dual-objective optimization is solved by the proposed extensible PSO (ePSO). ePSOis an innovation from traditional PSO. The major innovation is to offer an extensible particle structure and to enable more flexible search for optimal solutions in space. The experimental results demonstrate that the proposed ePSO effectively and fast tackles multi-objective optimization problem. The application of ePSO on underwater acoustic communication systems shows the feasibility in real world.