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      An Effective and Robust Decentralized Target Tracking Scheme in Wireless Camera Sensor Networks

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          Abstract

          In this paper, we propose an effective and robust decentralized tracking scheme based on the square root cubature information filter (SRCIF) to balance the energy consumption and tracking accuracy in wireless camera sensor networks (WCNs). More specifically, regarding the characteristics and constraints of camera nodes in WCNs, some special mechanisms are put forward and integrated in this tracking scheme. First, a decentralized tracking approach is adopted so that the tracking can be implemented energy-efficiently and steadily. Subsequently, task cluster nodes are dynamically selected by adopting a greedy on-line decision approach based on the defined contribution decision (CD) considering the limited energy of camera nodes. Additionally, we design an efficient cluster head (CH) selection mechanism that casts such selection problem as an optimization problem based on the remaining energy and distance-to-target. Finally, we also perform analysis on the target detection probability when selecting the task cluster nodes and their CH, owing to the directional sensing and observation limitations in field of view (FOV) of camera nodes in WCNs. From simulation results, the proposed tracking scheme shows an obvious improvement in balancing the energy consumption and tracking accuracy over the existing methods.

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          Cubature Kalman Filters

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            A survey on wireless multimedia sensor networks

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              Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                20 March 2017
                March 2017
                : 17
                : 3
                : 639
                Affiliations
                [1 ]Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China; fupc@ 123456mail.sim.ac.cn (P.F.); cyb@ 123456mail.sim.ac.cn (Y.C.); tanghy@ 123456mail.sim.ac.cn (H.T.); libq@ 123456mail.sim.ac.cn (B.L.); peijun@ 123456mail.sim.ac.cn (J.P.)
                [2 ]University of Chinese Academy of Sciences, Beijing 100049, China
                Author notes
                [* ]Correspondence: sinowsn@ 123456mail.sim.ac.cn ; Tel.: +86-21-6907-5861
                Article
                sensors-17-00639
                10.3390/s17030639
                5375925
                28335537
                0a306485-3f74-4279-9483-ee716225bc85
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 December 2016
                : 16 March 2017
                Categories
                Article

                Biomedical engineering
                target tracking,wireless camera sensor networks,information filter,camera selection,decentralized,sensor fusion

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