Deployment and Scheduling for Fusion-based Detection in RF-powered Sensor Networks
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National Natural Science Foundation of China (61772472, 61872322, 61472367); Natural Science Foundation of Zhejiang Province (LZ21F020005); Fundamental Research Funds for the Provincial Universities of Zhejiang (RF-A2019002); National Key R&D Program of China (2018YFB0204003)

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    Abstract:

    When RF-powered sensor network is applied to target detection, rational planning of sensor placement and charging/sensing schedule is an effective way to improve the system detection quality. Based on the fusion-based detection model, firstly, the joint optimization problem of sensor placement and scheduling problem is formulated to maximize the system detection quality. The problem is proved to be NP-complete. Then after analyzing the impact of fusion radius on the detection rate, a joint optimization greedy algorithm (JOGA) is proposed to solve the problem. Finally, the performance of the proposed JOGA is compared with those obtained by exhaustive search and two-stage greedy algorithm (TSGA), an algorithm that optimizes sensor placement and scheduling separately, through extensive numerical simulations as well as simulations based on real data traces collected from a vehicle detection experiment. Results show that, the proposed JOGA always outperforms TSGA in all the simulation scenarios, and is near optimal in small-scale networks.

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李燕君,陈雨哲,林瑞仲,池凯凯,胡亚红.射频供能传感网面向融合检测的部署调度方法.软件学报,2020,31(12):3852-3866

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History
  • Received:October 16,2018
  • Revised:June 16,2019
  • Adopted:
  • Online: December 03,2020
  • Published: December 06,2020
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