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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51572


    Title: Scalable continuous object detection and tracking in sensor networks
    Authors: Tu,SC;Chang,GY;Sheu,JP;Li,W;Hsieh,UY
    Contributors: 資訊工程學系
    Date: 2010
    Issue Date: 2012-03-27 18:56:28 (UTC+8)
    Publisher: 國立中央大學
    Abstract: With the advancement of MEMS technologies, sensor networks have opened up broad application prospects. An important issue in wireless sensor networks is object detection and tracking, which typically involves two basic components, collaborative data processing and object location reporting. The former aims to have sensors collaborating in determining a concise digest of object location information, while the latter aims to transport a concise digest to sink in a timely manner. This issue has been intensively studied in individual objects, Such as intruders. However, the characteristic of continuous objects has posed new challenges to this issue. Continuous objects can diffuse, increase in size, or split into multiple continuous objects, such as a noxious gas. In this paper, a scalable, topology-control-based approach For continuous object detection and tracking is proposed. Extensive Simulations are conducted, which show a significant improvement over existing solutions. (C) 2009 Elsevier Inc. All rights reserved.
    Relation: JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
    Appears in Collections:[資訊工程學系] 期刊論文

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