원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.9 No.9
2016.09
pp.293-306
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Optimal coverage of wireless sensor networks is one of the most fundamental problems for constructing efficient perception layer of the Internet of Things. On the basis of research on spatial neighborhood, the node coverage and area coverage models are analyzed, then an optimal coverage algorithm of wireless sensor networks is proposed based on particle swarm optimization with coherent velocity. Experimental results show that the algorithm can significantly improve the network coverage; in addition, the coherent velocity can effectively avoid network prematurely into a local optimal solution, so as to enhance the network coverage.
목차
Abstract
1. Introduction
2. Related Works
3. Preliminary Modeling
3.1. Spatial Neighborhood
3.2. Node Coverage Model
3.3. Area Coverage Model
4. Coverage Optimization Algorithm
4.1. Node Position Optimization
4.2. Inertia Weight of Velocity
4.3. Coherent Velocity
5. Implementation Description
5.1. Node Attributes
5.2. Spatial Neighborhood Construction
5.3. Local Neighborhood Coverage Computation
5.4. Procedure of Coverage Optimization
6. Experiment and Analysis
6.1. Experimental Settings
6.2. Communication Radius Selection
6.3. Network Coverage Discussion
6.4. Coherent Velocity Effects
6.5. Running Time Analysis
7. Conclusions
Acknowledgement
References
1. Introduction
2. Related Works
3. Preliminary Modeling
3.1. Spatial Neighborhood
3.2. Node Coverage Model
3.3. Area Coverage Model
4. Coverage Optimization Algorithm
4.1. Node Position Optimization
4.2. Inertia Weight of Velocity
4.3. Coherent Velocity
5. Implementation Description
5.1. Node Attributes
5.2. Spatial Neighborhood Construction
5.3. Local Neighborhood Coverage Computation
5.4. Procedure of Coverage Optimization
6. Experiment and Analysis
6.1. Experimental Settings
6.2. Communication Radius Selection
6.3. Network Coverage Discussion
6.4. Coherent Velocity Effects
6.5. Running Time Analysis
7. Conclusions
Acknowledgement
References
저자정보
참고문헌
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