淡江大學機構典藏:Item 987654321/110042
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/110042


    Title: Encircled Belt-Barrier Coverage in Wireless Visual Sensor Networks
    Authors: Cheng, Chien-Fu;Tsai, Kuo-Tang
    Keywords: Wireless visual sensors networks;Encircled barrier coverage;Quality of monitoring;Importance of image;Breadth of image
    Date: 2017-07-01
    Issue Date: 2017-03-22 02:10:17 (UTC+8)
    Publisher: Elsevier B.V.
    Abstract: In order to increase the Quality of Monitoring (QoM) of Wireless Visual Sensor Networks (WVSNs), we revisit the barrier coverage problem with three factors, including importance of image, breadth of image and rotation capability. Without consideration of importance of image, camera sensors can capture images of the intruder crossing the barrier but cannot guarantee that the captured images are the important portion of the intruder. Without consideration of breadth of image, image identification may be difficult. If camera sensors have rotation capability, how to select effective camera sensors to reduce the number of camera sensors required for barrier construction is another important issue. In this paper, for WVSNs consisting of camera sensors with and without rotation capability, we will respectively propose an algorithm to find a barrier with encircled coverage capability and β breadth. The proposed algorithms ensure that if any intruder crosses the barrier, important portions of the intruder can be clearly captured. Finally, the success rate of the proposed algorithms in three camera sensor distribution settings, including Uniform distribution, Poisson distribution and Gaussian distribution, will be evaluated through simulations.
    Relation: Pervasive and Mobile Computing 38(1), p.233-256
    DOI: 10.1016/j.pmcj.2016.08.005
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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