A Distributed Deployment Method for Wireless Sensor Networks Based on Multi Agent Systems
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| Publicado en: | Journal of Electrical Systems vol. 20, no. 7s (2024), p. 1290 |
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| Autor principal: | |
| Otros Autores: | , , |
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Engineering and Scientific Research Groups
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 001 | 3081860176 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1112-5209 | ||
| 035 | |a 3081860176 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a You, Chuiju |u School of Information Engineering, Sanming University, Sanming, 365004, China | |
| 245 | 1 | |a A Distributed Deployment Method for Wireless Sensor Networks Based on Multi Agent Systems | |
| 260 | |b Engineering and Scientific Research Groups |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper proposes a distributed deployment method for wireless sensor networks based on multi-agent systems, which addresses the issues of poor self adaptive deployment capability and high deployment costs caused by numerous and diverse types of nodes in the deployment process of wireless sensor networks, leading to blind spots in coverage and redundant nodes. Due to the characteristics of intelligent perception, intelligent communication, and clustering of nodes in wireless sensor network, sensor nodes can be seen as sensing agents, and sensor networks can be seen as distributed multi-agent systems composed of numerous sensing agents. Through the sensing agents' perception of the surrounding environment and communication interaction, a unified deployment model and distributed deployment algorithm with multiple nodes (cluster head nodes) as leaders are established, achieving effective integration of autonomous and leadership mechanisms, distributed management, and centralized management. Taking the problem of sensor network coverage as an example, simulation experiments were conducted, including 12 sensor agents and 1 20 · 20 monitoring areas, to verify how the sensor agents perceive the environment and optimize the migration and deployment process under the coordination of cluster head nodes. The experimental results confirmed the effectiveness of the above models and algorithms. The research results provide a theoretical model and practical approach for the distributed deployment and scheduling of sensor nodes in wireless sensor networks, and can be extended to intelligent Internet of Things systems, such as urban intelligent agent systems, logistics intelligent agent systems, etc., to improve the intelligence of wireless sensor networks deployment and scheduling. | |
| 653 | |a Environment models | ||
| 653 | |a Adaptive systems | ||
| 653 | |a Scheduling | ||
| 653 | |a Wireless communications | ||
| 653 | |a Internet of Things | ||
| 653 | |a Intelligent agents | ||
| 653 | |a Leadership | ||
| 653 | |a Clustering | ||
| 653 | |a Sensors | ||
| 653 | |a Wireless sensor networks | ||
| 653 | |a Nodes | ||
| 653 | |a Perception | ||
| 653 | |a Algorithms | ||
| 653 | |a Multiagent systems | ||
| 653 | |a System effectiveness | ||
| 653 | |a Clusters | ||
| 700 | 1 | |a Lin, Guanjun |u School of Information Engineering, Sanming University, Sanming, 365004, China | |
| 700 | 1 | |a Sun, Lili |u School of Information Engineering, Sanming University, Sanming, 365004, China | |
| 700 | 1 | |a Zhao, Shaoyu |u School of Information Engineering, Sanming University, Sanming, 365004, China | |
| 773 | 0 | |t Journal of Electrical Systems |g vol. 20, no. 7s (2024), p. 1290 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3081860176/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3081860176/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |