A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks
To extend the lifetime of a wireless sensor network and improve the energy efficiency of its nodes, it is necessary to use node collaborative sleep algorithm to reduce the number of redundant nodes in the network. This paper proposes a particle swarm optimization sleep scheduling mechanism for use i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/517250 |
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| _version_ | 1849402565718966272 |
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| author | Luobing Dong He Tao William Doherty Marten Young |
| author_facet | Luobing Dong He Tao William Doherty Marten Young |
| author_sort | Luobing Dong |
| collection | DOAJ |
| description | To extend the lifetime of a wireless sensor network and improve the energy efficiency of its nodes, it is necessary to use node collaborative sleep algorithm to reduce the number of redundant nodes in the network. This paper proposes a particle swarm optimization sleep scheduling mechanism for use in wireless sensor networks based on sleep scheduling algorithm. The mechanism adopts the approach of density control and finds the redundant nodes based on the computation results of the network coverage. Experimental results show that the proposed algorithm can ensure adequate coverage under the premise of the ability to close off the redundant nodes, while reducing the total energy consumption of the network. |
| format | Article |
| id | doaj-art-9bc43edbeed74899a621fd9e41a8f3fa |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9bc43edbeed74899a621fd9e41a8f3fa2025-08-20T03:37:30ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-03-011110.1155/2015/517250517250A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor NetworksLuobing Dong0He Tao1William Doherty2Marten Young3 School of Software, Xidian University, Xian 710071, China Oujiang College, Wenzhou University, Wenzhou 325035, China Electrical and Computer Engineering, University of California, Riverside, CA 92521, USA Mirantis Inc., Mountain View, CA 94043, USATo extend the lifetime of a wireless sensor network and improve the energy efficiency of its nodes, it is necessary to use node collaborative sleep algorithm to reduce the number of redundant nodes in the network. This paper proposes a particle swarm optimization sleep scheduling mechanism for use in wireless sensor networks based on sleep scheduling algorithm. The mechanism adopts the approach of density control and finds the redundant nodes based on the computation results of the network coverage. Experimental results show that the proposed algorithm can ensure adequate coverage under the premise of the ability to close off the redundant nodes, while reducing the total energy consumption of the network.https://doi.org/10.1155/2015/517250 |
| spellingShingle | Luobing Dong He Tao William Doherty Marten Young A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks |
| title_full | A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks |
| title_fullStr | A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks |
| title_full_unstemmed | A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks |
| title_short | A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks |
| title_sort | sleep scheduling mechanism with pso collaborative evolution for wireless sensor networks |
| url | https://doi.org/10.1155/2015/517250 |
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