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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/106713


    題名: Energy-efficient mobile targets detection in the presence of mobile sinks
    作者: 孫敏德;Chen, Guaning;Cheuh, Jiu-Shu;Sun, Min-Te;Chiang, Tsun-Chieh;Jeng, Andy An-Kai
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Algorithms;Data acquisition;Data dissemination;Geometric routing;Grid network;Loads (forces);Mathematical models;Networks;Protocol (computers);Query aggregation;Sensors;Trees;Wireless sensor networks
    日期: 2016-03-15
    上傳時間: 2026-04-23 13:38:17 (UTC+8)
    出版者: Elsevier;Elsevier B.V
    摘要: 摘要: Tracking moving targets has become an increasingly important application for sensor networks. Sensor nodes may sense moving targets far away from the Source, and hence a large amount of energy may be wasted by them to send sensory data to the Source. Designing efficient algorithms and protocols for data dissemination to mobile sinks is an interesting research and engineering issue, especially for large-scale wireless sensor networks (WSNs). Sink mobility brings new challenges to the design of data dissemination. The location updates for each mobile sink need to be continuously propagated through the field to all sensor nodes, so that future data reports can be correctly delivered to the sink. As energy and resources of a sensor node are limited, these algorithms and protocols should meet a high energy efficiency and a high delivery ratio. To deal with this issue, we propose a framework, called Tree Overlay Grid (TOG), for data collection and dissemination. To route queries and deliver data efficiently in our framework, a geometric routing GFB (Greedy Forwarding within Bound) is proposed to create a TTDD-like grid network, and a tree protocol is used to construct local trees around sinks. In addition, two mechanisms are introduced to prolong the network lifetime. The first mechanism tries to save energy by reducing the traffic load; the second one tries to slow down energy consumption by balancing the traffic load. The simulation results show that TOG outperforms the best known data collection solution and some current data collection solutions for WSNs with multiple mobile sinks.
    出版者: Elsevier B.V
    出版日期: 2016-03-15
    出處: Computer communications, 2016-03, Vol.78, p.97-114
    資源來源: ScienceDirect
    版權: 2015 Elsevier B.V.
    識別號: ISSN: 0140-3664
    識別號: EISSN: 1873-703X
    識別號: DOI: 10.1016/j.comcom.2015.08.015
    顯示於類別:[資訊工程學系] 期刊論文

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