Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization
Node deployment is the key problem of wireless sensor network technology. For a directional sensor network, the perceived probability model reflects the quality of the network. The problem of the probability node deployment is too little of the distribution of the nodes asymmetrical. In this paper,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/2046392 |
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| _version_ | 1832547780555440128 |
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| author | Junguo Zhang Yutong Lei Chen Chen Fantao Lin |
| author_facet | Junguo Zhang Yutong Lei Chen Chen Fantao Lin |
| author_sort | Junguo Zhang |
| collection | DOAJ |
| description | Node deployment is the key problem of wireless sensor network technology. For a directional sensor network, the perceived probability model reflects the quality of the network. The problem of the probability node deployment is too little of the distribution of the nodes asymmetrical. In this paper, we study the probability model of directional perceived nodes and propose an improved deterministic deployment algorithm based on particle swarm optimization to increase perceived probability. By analyzing the coverage probability of the monitoring area with different deployment models to obtain more serviceable environmental data of the monitoring areas, experimental results demonstrate that, compared with random deployment, sixteen percent is improved by the proposed algorithm. |
| format | Article |
| id | doaj-art-681d909567cc455fa46c6ce552fa4b3a |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-681d909567cc455fa46c6ce552fa4b3a2025-02-03T06:43:16ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-04-011210.1155/2016/2046392Directional Probability Perceived Nodes Deployment Based on Particle Swarm OptimizationJunguo Zhang0Yutong Lei1Chen Chen2Fantao Lin3 School of Technology, Beijing Forestry University, Beijing 100083, China School of Technology, Beijing Forestry University, Beijing 100083, China Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA China Electric Power Research Institute, Beijing 100192, ChinaNode deployment is the key problem of wireless sensor network technology. For a directional sensor network, the perceived probability model reflects the quality of the network. The problem of the probability node deployment is too little of the distribution of the nodes asymmetrical. In this paper, we study the probability model of directional perceived nodes and propose an improved deterministic deployment algorithm based on particle swarm optimization to increase perceived probability. By analyzing the coverage probability of the monitoring area with different deployment models to obtain more serviceable environmental data of the monitoring areas, experimental results demonstrate that, compared with random deployment, sixteen percent is improved by the proposed algorithm.https://doi.org/10.1155/2016/2046392 |
| spellingShingle | Junguo Zhang Yutong Lei Chen Chen Fantao Lin Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization International Journal of Distributed Sensor Networks |
| title | Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization |
| title_full | Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization |
| title_fullStr | Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization |
| title_full_unstemmed | Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization |
| title_short | Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization |
| title_sort | directional probability perceived nodes deployment based on particle swarm optimization |
| url | https://doi.org/10.1155/2016/2046392 |
| work_keys_str_mv | AT junguozhang directionalprobabilityperceivednodesdeploymentbasedonparticleswarmoptimization AT yutonglei directionalprobabilityperceivednodesdeploymentbasedonparticleswarmoptimization AT chenchen directionalprobabilityperceivednodesdeploymentbasedonparticleswarmoptimization AT fantaolin directionalprobabilityperceivednodesdeploymentbasedonparticleswarmoptimization |