NDLI: An Improved Co-evolutionary Particle Swarm Optimization for Wireless Sensor Networks with Dynamic Deployment

Content Provider	PubMed Central
Author	Wang, Xue Wang, Sheng Ma, Jun-jie
Copyright Year	2007
Abstract	The effectiveness of wireless sensor networks (WSNs) depends on the coverage and target detection probability provided by dynamic deployment, which is usually supported by the virtual force (VF) algorithm. However, in the VF algorithm, the virtual force exerted by stationary sensor nodes will hinder the movement of mobile sensor nodes. Particle swarm optimization (PSO) is introduced as another dynamic deployment algorithm, but in this case the computation time required is the big bottleneck. This paper proposes a dynamic deployment algorithm which is named “virtual force directed co-evolutionary particle swarm optimization” (VFCPSO), since this algorithm combines the co-evolutionary particle swarm optimization (CPSO) with the VF algorithm, whereby the CPSO uses multiple swarms to optimize different components of the solution vectors for dynamic deployment cooperatively and the velocity of each particle is updated according to not only the historical local and global optimal solutions, but also the virtual forces of sensor nodes. Simulation results demonstrate that the proposed VFCPSO is competent for dynamic deployment in WSNs and has better performance with respect to computation time and effectiveness than the VF, PSO and VFPSO algorithms.
Ending Page	370
Starting Page	354
File Format	PDF
ISSN	14248220
e-ISSN	14248220
Journal	Sensors (Basel, Switzerland)
Issue Number	3
Volume Number	7
Language	English
Publisher	Molecular Diversity Preservation International (MDPI)
Publisher Date	2007-03-22
Access Restriction	Open
Rights Holder	Molecular Diversity Preservation International (MDPI)
Subject Keyword	Sensors and actuators Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Medicine Atomic and Molecular Physics, and Optics Instrumentation Analytical Chemistry Biochemistry Information Systems Electrical and Electronic Engineering

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