Paper Info
Title
Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment
Abstract
A general wireless sensor network (WSN) is a system composed of a large number of sensor nodes. In the WSN system, all sensor nodes are responsible for sensing the interested events and transmitting the related information back to the sink node. The sink node acts like the brain of the whole WSN system for processing the collected data and giving control commands. The position of the sink node directly affects the data transmission efficiency and the distance from the terminal sensor node to the sink node. Thus, choosing the correct place to place the sink node in the whole network is a delicate work. In this paper, we propose a sink node placement method by proposing a newly designed object function and utilizing Cat Swarm Optimization (CSO) to find out the near best location for placing the sink node. The simulation results indicate that our proposed method presents good performance compared with the conventional Particle Swarm Optimization (PSO) algorithm in reducing the overall energy consumption and prolongs the lifetime of network in an efficient way.
Year
DOI
Venue
2016
10.1109/CMCSN.2016.56
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)
Keywords
Field
DocType
Wireless sensor network,Cat swarm optimization,Sink node placement
Sensor node,Particle swarm optimization,Key distribution in wireless sensor networks,Swarm behaviour,Data transmission,Computer science,Node (networking),Computer network,Real-time computing,Wireless sensor network,Sink (computing)
Conference
ISBN
Citations 
PageRank 
978-1-5090-1094-3
0
0.34
References 
Authors
10
6
Name
Order
Citations
PageRank
Tsai Pei-wei112715.88
Kong Lingping2243.29
Václav Snasel31261210.53
Pan Jeng-Shyang42466269.74
Istanda Vaci500.34
Hu Zhi-Yong600.34