Optimal node placement in industrial Wireless Sensor Networks using adaptive mutation probability binary Particle Swarm Optimization algorithm

Industrial Wireless Sensor Networks (IWSNs), a novel technique in the field of industrial control, can greatly reduce the cost of measurement and control, as well as improve productive efficiency. Different from Wireless Sensor Networks (WSNs) in non-industrial areas, IWSNs has high requirements for...

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Bibliographic Details

Published in:	2011 Seventh International Conference on Natural Computation Vol. 4; pp. 2199 - 2203
Main Authors:	Ling Wang, Xiping Fu, Jiating Fang, Haikuan Wang, Minrui Fei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2011
Subjects:	Adaptation models Adaptive Mutation Binary Particle Swarm Optimization Industrial Wireless Sensor Networks Load modeling Node Placement Optimization Particle swarm optimization Reliability Sensors Wireless sensor networks
ISBN:	9781424499502, 142449950X
ISSN:	2157-9555
Online Access:	Get full text
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