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A new method for distributing power usage across a sensor network

机译:一种跨传感器网络分配电量的新方法

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摘要

We present a method for more uniformly distributing the energy burden across a wireless ground-based sensor network communicating with an overhead unmanned aerial vehicle (UAV). A subset of sensor nodes, termed a transmit cluster, receives and aggregates data gathered by the entire network, and forms a distributed antenna array, concentrating the radiated transmission into a narrow beam aimed towards the UAV. Because these duties are power-intensive, the role of transmit cluster must be shifted to different nodes as time progresses. We present an algorithm to reassign the transmit cluster, specifying the time that should elapse between reassignments and the number of hops that should be placed between successive transmit clusters in order to achieve three competing goals: first, we wish to better and more broadly spread the energy load across the sensor network while, second, minimizing the energy expended in moving the transmit cluster, all the while, third, reducing to the extent practicable the time to bring the UAV and the sensor network's beam into alignment. Additionally, we present a method for reconfiguring the communication burden between the ground-based sensor network and the UAV. We describe and analyze two alternative strategies to bring the UAV and the sensor network's beam into alignment, while minimizing the energy expended by the sensor network. The performance of the two strategies is compared in terms of probability of beam-UAV alignment as a function of time, and the expected time to alignment. We examine the performance tradeoff between the choice of strategy and parameters of the sensor network that affect power conservation.
机译:我们提出了一种方法,用于在与高架无人飞行器(UAV)通信的无线地面传感器网络上更均匀地分配能量负担。传感器节点的子集,称为发射群集,接收并聚合整个网络收集的数据,并形成分布式天线阵列,将辐射的传输集中到针对UAV的窄波束中。由于这些工作量非常大,因此随着时间的推移,传输群集的角色必须转移到不同的节点。为了实现三个竞争目标,我们提出了一种重新分配传输集群的算法,指定了在重新分配之间应该经过的时间以及在连续的传输集群之间应放置的跳数。首先,我们希望更好地,更广泛地传播传感器网络上的能量负载,其次是最大程度地减少了移动发射群集所消耗的能量,同时,其三,将UAV和传感器网络的光束对准所需的时间减少到实际可行的程度。此外,我们提出了一种用于重新配置基于地面的传感器网络和无人机之间的通信负担的方法。我们描述并分析了两种替代策略,可将无人机和传感器网络的光束对准,同时最大程度地减少传感器网络消耗的能量。根据光束UAV对准的概率与时间的函数关系以及预期的对准时间,比较了这两种策略的性能。我们研究了影响功率节省的传感器网络的策略选择和参数之间的性能折衷。

著录项

  • 来源
    《Ad hoc networks》 |2008年第8期|1258-1280|共23页
  • 作者单位

    Computer Science Department, United States Naval Academy, 572M Holloway Road Slop 9F, Annapolis, MD 21402-5002, United States;

    Department of Electrical and Computer Engineering, Naval Postgraduate School, United States;

    Department of Electrical and Computer Engineering, Naval Postgraduate School, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sensor networks; energy management; unmanned vehicles;

    机译:传感器网络;能源管理;无人驾驶车;

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