Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks
Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. However, some variants of decision rules such as Voting,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/506318 |
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| _version_ | 1832555311677833216 |
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| author | Zhaohui Yuan Haiying Xue Yiqin Cao Xiangmao Chang |
| author_facet | Zhaohui Yuan Haiying Xue Yiqin Cao Xiangmao Chang |
| author_sort | Zhaohui Yuan |
| collection | DOAJ |
| description | Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. However, some variants of decision rules such as Voting, Bayes Criterion, and Neyman-Pearson require a priori knowledge on the probability of targets presence which is still an open issue in detection theory. In this paper, we propose a binary decision fusion scheme that reaches a global decision by integrating local decisions made by fusion members. The optimal local thresholds and global threshold are derived by using the Minimax criterion based analysis while they are ensuring false alarm rate constraint, without a preestimated target appearance probability. Simulation results show that our scheme can improve the system performance under certain constraints, which can guide the threshold selection for implementing WSN systems in mission-critical applications. |
| format | Article |
| id | doaj-art-70f4887f2fd84670bbc940a6a82fefe4 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-70f4887f2fd84670bbc940a6a82fefe42025-02-03T05:48:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-02-011010.1155/2014/506318506318Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor NetworksZhaohui Yuan0Haiying Xue1Yiqin Cao2Xiangmao Chang3 East China Jiaotong University, Nanchang 330013, China East China Jiaotong University, Nanchang 330013, China East China Jiaotong University, Nanchang 330013, China Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaDecision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. However, some variants of decision rules such as Voting, Bayes Criterion, and Neyman-Pearson require a priori knowledge on the probability of targets presence which is still an open issue in detection theory. In this paper, we propose a binary decision fusion scheme that reaches a global decision by integrating local decisions made by fusion members. The optimal local thresholds and global threshold are derived by using the Minimax criterion based analysis while they are ensuring false alarm rate constraint, without a preestimated target appearance probability. Simulation results show that our scheme can improve the system performance under certain constraints, which can guide the threshold selection for implementing WSN systems in mission-critical applications.https://doi.org/10.1155/2014/506318 |
| spellingShingle | Zhaohui Yuan Haiying Xue Yiqin Cao Xiangmao Chang Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks |
| title_full | Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks |
| title_fullStr | Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks |
| title_full_unstemmed | Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks |
| title_short | Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks |
| title_sort | exploiting optimal threshold for decision fusion in wireless sensor networks |
| url | https://doi.org/10.1155/2014/506318 |
| work_keys_str_mv | AT zhaohuiyuan exploitingoptimalthresholdfordecisionfusioninwirelesssensornetworks AT haiyingxue exploitingoptimalthresholdfordecisionfusioninwirelesssensornetworks AT yiqincao exploitingoptimalthresholdfordecisionfusioninwirelesssensornetworks AT xiangmaochang exploitingoptimalthresholdfordecisionfusioninwirelesssensornetworks |