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Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment
- Source :
- CMCSN
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
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.
- Subjects :
- 020203 distributed computing
Computer science
business.industry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Real-time computing
Swarm behaviour
Particle swarm optimization
020206 networking & telecommunications
02 engineering and technology
Energy consumption
Key distribution in wireless sensor networks
Sensor node
0202 electrical engineering, electronic engineering, information engineering
Sink (computing)
business
Wireless sensor network
Computer network
Data transmission
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)
- Accession number :
- edsair.doi...........406d3da10b8355585e74bcbb74f4f79d