2 research outputs found

    Research Advance of Target Tracking with Mobile Elements in Heterogeneous Wireless Sensor Networks

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    传统固定无线传感器网络在进行目标跟踪过程中面临跟踪质量较低、网络能耗较高等问题.引入移动节点后所组成的异构无线传感器网络提供了新的解决方法,即移; 动式目标跟踪.目前的研究大多对被跟踪目标的探测和定位混为一谈,本文区分了以探测为主和以定位为主的两类方法,着重介绍以探测为主的移动式目标跟踪方法; 的研究现状.通过对比现有方法在跟踪质量和网络能耗等方面的优缺点,揭示了现有研究存在的问题.总结了移动式目标跟踪领域存在的研究热点和趋势.Traditional stationary wireless sensor networks usually encounter some; problems during the process of target tracking,such as low tracking; quality, high energy consumption and so on. More and more mobile; elements, i. e., mobile sensors, are used to build up heterogeneous; wireless sensor networks and thus bring new solutionsfor target; tracking. Existing researches usually misidentify detecting the target; with locating the target. After distinguishing between detection-centric; and localization-centric methods,we review specifically the current; research status of the detection-centric target tracking methods. By; comparing existing methods'merit and demeritin aspects like tracking; quality, energy consumption, etc.,their problems are revealed.; Therefore, we summarize some possible research hotspotsand tendency of; mobile solutions in many aspects.国家自然科学基金重点项目; 国家科技支撑计划项目; 国家自然科学基金项目; 福建省自然科学基金计划项

    Mobile sensor deployment for a dynamic cluster-based target tracking sensor network

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    This paper presents a mobile sensor deployment algorithm within a hybrid sensor network, which consists of some mobile sensors and a relatively large number of static sensors. For a target tracking task, a cluster is constructed and updated dynamically for tracking upon detection of an event. A cluster construction algorithm in a sparsely deployed sensor network is addressed. Mobile sensors are used to fill the coverage holes inside the cluster. A scalable mobile sensor deployment algorithm based on static sensor cluster is presented and analyzed. Minimum Spanning Circle (MSC) of a polygon acts as the metric for dynamic clustering. Simulations have been used to verify the proposed algorithms. © 2005 IEEE
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