Energy-efficient compressive sensing for multi-target tracking in wireless visual sensor networks

Maryam Najimi; Vahideh Sadat Sadeghi

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Energy-efficient compressive sensing for multi-target tracking in wireless visual sensor networks

机译：Energy-efficient compressive sensing for multi-target tracking in wireless visual sensor networks

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Wireless visual sensor networks (WVSN) have vital roles in surveillance applications.In these networks, wireless visual sensors include camera and transceivermodule and collect visual information. However, energy consumptionand coverage of the tracked targets are important challenges in WVSNs sinceincreasing the coverage leads to increasing energy consumption. Therefore,energy optimization and satisfying the quality of experience (QoE) of thetracked targets are essential issues in these networks. In fact, the appropriatefocal length setting leads to increasing the target coverage and quality of thecaptured targets' images and energy consumption. Therefore, selection of thesuitable visual sensors and setting their focal length can overcome the energyconsumption challenges and improve QoE of the tracked targets. In this case,compressive sensing is also expected to overcome the battery constraints of theWVSN resources. In this paper, the problem is to minimize the energy consumptionof the multi-target tracking with high reliability, while the coverageand also the quality of the received image of the targets are satisfied by selectionof the proper visual sensors and the focal length adjustment. The convexoptimization method is used to solve the problem. Also, based on theKarush-Kuhn-Tucker conditions, the optimal solution for the problem isobtained. Simulation results validate the efficiency of the proposed method incomparison with the other bench mark algorithms.

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来源
《International journal of communication systems》 |2022年第16期|:e5307.1-:e5307.16|共16页
作者
Maryam Najimi; Vahideh Sadat Sadeghi;
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作者单位

Department of Electrical and ComputerEngineering, University of Science andTechnology of Mazandaran, P.O.Box48518-78195, Behshahr, Iran;

Electrical and Computer EngineeringGroup, Golpayegan College ofEngineering, Isfahan University ofTechnology, Golpayegan, 87717-67498,Iran;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
convex optimization; energy efficiency; KKT conditions; target tracking; wireless visual sensor networks;

Energy-efficient compressive sensing for multi-target tracking in wireless visual sensor networks

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