A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks
Target tracking is a typical and important application of wireless sensor networks (WSNs). In consideration of the network scalability and energy efficiency for target tracking in large-scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/494863 |
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| _version_ | 1849471098171686912 |
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| author | Zhibo Wang Wei Lou Zhi Wang Junchao Ma Honglong Chen |
| author_facet | Zhibo Wang Wei Lou Zhi Wang Junchao Ma Honglong Chen |
| author_sort | Zhibo Wang |
| collection | DOAJ |
| description | Target tracking is a typical and important application of wireless sensor networks (WSNs). In consideration of the network scalability and energy efficiency for target tracking in large-scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers a boundary problem when the target moves across or along the boundaries of clusters, as the static cluster membership prevents sensors in different clusters from sharing information. In this paper, we propose a novel mobility management protocol, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. By constructing on-demand dynamic clusters at boundary regions, nodes from different static clusters that detect the target can temporarily share information, and the tracking task can be handed over smoothly from one static cluster to another. As the target moves, static clusters and on-demand dynamic clusters alternately manage the target tracking task. Simulation results show that the proposed protocol performs better in tracking the moving target when compared with other typical target tracking protocols. |
| format | Article |
| id | doaj-art-d7b0ebd7a7394f72a7912a7545541a53 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d7b0ebd7a7394f72a7912a7545541a532025-08-20T03:24:56ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-03-01910.1155/2013/494863A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor NetworksZhibo Wang0Wei Lou1Zhi Wang2Junchao Ma3Honglong Chen4 State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China Department of Computing, the Hong Kong Polytechnic University, Hong Kong State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China Department of Computing, the Hong Kong Polytechnic University, Hong Kong College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, ChinaTarget tracking is a typical and important application of wireless sensor networks (WSNs). In consideration of the network scalability and energy efficiency for target tracking in large-scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers a boundary problem when the target moves across or along the boundaries of clusters, as the static cluster membership prevents sensors in different clusters from sharing information. In this paper, we propose a novel mobility management protocol, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. By constructing on-demand dynamic clusters at boundary regions, nodes from different static clusters that detect the target can temporarily share information, and the tracking task can be handed over smoothly from one static cluster to another. As the target moves, static clusters and on-demand dynamic clusters alternately manage the target tracking task. Simulation results show that the proposed protocol performs better in tracking the moving target when compared with other typical target tracking protocols.https://doi.org/10.1155/2013/494863 |
| spellingShingle | Zhibo Wang Wei Lou Zhi Wang Junchao Ma Honglong Chen A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks |
| title_full | A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks |
| title_fullStr | A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks |
| title_full_unstemmed | A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks |
| title_short | A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks |
| title_sort | hybrid cluster based target tracking protocol for wireless sensor networks |
| url | https://doi.org/10.1155/2013/494863 |
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