| Wen Sha (文莎),Cai Zixing,Hu Xiaoqing.[J].高技术通讯(英文),2014,20(3):267~273 |
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| Multi-objective optimization sensor node scheduling for target tracking in wireless sensor network |
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| DOI：10.3772/j.issn.1006-6748.2014.03.007 |
| 中文关键词: |
| 英文关键词: wireless sensor network (WSN), target tracking, sensor scheduling, multi-objective optimization |
| 基金项目: |
| Author Name | Affiliation | | Wen Sha (文莎) | | | Cai Zixing | | | Hu Xiaoqing | |
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| 中文摘要: |
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| 英文摘要: |
| Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target. For the goals of saving energy consumption, prolonging network lifetime and improving tracking accuracy, sensor node scheduling for target tracking is indeed a multi-objective optimization problem. In this paper, a multi-objective optimization sensor node scheduling algorithm is proposed. It employs the unscented Kalman filtering algorithm for target state estimation and establishes tracking accuracy index, predicts the energy consumption of candidate sensor nodes, analyzes the relationship between network lifetime and remaining energy balance so as to construct energy efficiency index. Simulation results show that, compared with the existing sensor node scheduling, our proposed algorithm can achieve superior tracking accuracy and energy efficiency. |
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