A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network
The wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new sc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi - SAGE Publishing
2015-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/729680 |
| _version_ | 1797727011039346688 |
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| author | Lingping Kong Jeng-Shyang Pan Pei-Wei Tsai Snasel Vaclav Jiun-Huei Ho |
| author_facet | Lingping Kong Jeng-Shyang Pan Pei-Wei Tsai Snasel Vaclav Jiun-Huei Ho |
| author_sort | Lingping Kong |
| collection | DOAJ |
| description | The wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new scheme for predetermining the optimized routing path is proposed based on the enhanced parallel cat swarm optimization (EPCSO) in this paper. This is the first leading precedent that the EPCSO is employed to provide the routing scheme for the WSN. The experimental result indicates that the EPCSO is capable of generating a set of the predetermined paths and of smelting the balanced path for every sensor node to forward the interested packages. In addition, a scheme for deploying the sensor nodes based on their payload and the distance to the sink node is presented to extend the life cycle of the WSN. A simulation is given and the results obtained by the EPCSO are compared with the AODV, the LD method based on ACO, and the LD method based on CSO. The simulation results indicate that our proposed method reduces more than 35% power consumption on average. |
| first_indexed | 2024-03-12T10:53:44Z |
| format | Article |
| id | doaj.art-a6f1582133e0425391ea12019dbf3988 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T10:53:44Z |
| publishDate | 2015-03-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-a6f1582133e0425391ea12019dbf39882023-09-02T06:40:18ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-03-011110.1155/2015/729680729680A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor NetworkLingping Kong0Jeng-Shyang Pan1Pei-Wei Tsai2Snasel Vaclav3Jiun-Huei Ho4 Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China College of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China College of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China Department of Computer Science, VSB Technical University of Ostrava, 70833 Ostrava, Czech Republic Department of Computer Science and Information Engineering, Cheng Shiu University, Kaohsiung 83347, TaiwanThe wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new scheme for predetermining the optimized routing path is proposed based on the enhanced parallel cat swarm optimization (EPCSO) in this paper. This is the first leading precedent that the EPCSO is employed to provide the routing scheme for the WSN. The experimental result indicates that the EPCSO is capable of generating a set of the predetermined paths and of smelting the balanced path for every sensor node to forward the interested packages. In addition, a scheme for deploying the sensor nodes based on their payload and the distance to the sink node is presented to extend the life cycle of the WSN. A simulation is given and the results obtained by the EPCSO are compared with the AODV, the LD method based on ACO, and the LD method based on CSO. The simulation results indicate that our proposed method reduces more than 35% power consumption on average.https://doi.org/10.1155/2015/729680 |
| spellingShingle | Lingping Kong Jeng-Shyang Pan Pei-Wei Tsai Snasel Vaclav Jiun-Huei Ho A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network International Journal of Distributed Sensor Networks |
| title | A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network |
| title_full | A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network |
| title_fullStr | A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network |
| title_full_unstemmed | A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network |
| title_short | A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network |
| title_sort | balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor network |
| url | https://doi.org/10.1155/2015/729680 |
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