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首页> 外文期刊>IEEE transactions on mobile computing >A Two-Phase Dispatch Heuristic to Schedulethe Movement of Multi-Attribute MobileSensors in a Hybrid Wireless Sensor Network
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A Two-Phase Dispatch Heuristic to Schedulethe Movement of Multi-Attribute MobileSensors in a Hybrid Wireless Sensor Network

机译:两阶段调度启发式调度混合无线传感器网络中多属性移动传感器的运动

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The paper considers a hybrid wireless sensor network with static and mobile sensors, where each static sensor can detect only one attribute of event while a mobile sensor can analyze multiple attributes of events. Static sensors monitor the environment and report where events appear. Mobile sensors then move to these event locations to conduct more in-depth analysis. A critical issue is how to schedule the traveling paths of mobile sensors so as to extend their lifetime. We formulate this issue as a multi-round multi-attribute sensor dispatch problem and prove it to be NP-complete. Then, we develop a two-phase dispatch heuristic that adopts the concepts of Pareto optimality and spanning-tree construction. Our heuristic allows arbitrary numbers of mobile sensors and event locations and tries to reduce and balance the energy consumption of mobile sensors in each round. Through simulations, we verify the effectiveness of our heuristic. The paper contributes in defining a new sensor dispatch problem and developing an energy-efficient solution to the problem.
机译:本文考虑了具有静态和移动传感器的混合无线传感器网络,其中每个静态传感器只能检测事件的一个属性,而移动传感器可以分析事件的多个属性。静态传感器监视环境并报告事件发生的位置。然后,移动传感器移至这些事件位置,以进行更深入的分析。一个关键问题是如何安排移动传感器的行进路径,以延长其使用寿命。我们将此问题表述为多轮多属性传感器调度问题,并证明它是NP完全的。然后,我们开发了一种采用帕累托最优和生成树构造概念的两阶段调度启发式方法。我们的启发式方法允许任意数量的移动传感器和事件位置,并尝试减少和平衡每一轮移动传感器的能耗。通过模拟,我们验证了启发式方法的有效性。本文有助于定义一个新的传感器调度问题,并为该问题开发节能解决方案。

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