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Power Conservation Approaches to the Border Coverage Problem in Wireless Sensor Networks

机译：无线传感器网络中边境覆盖问题的节电方法

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摘要

Recent advances in wireless communications and electronics have enabled the development of low cost, low-power, multifunctional sensor nodes that are small in size and communicate in short distances. As sensor nodes are typically battery operated, it is important to efficiently use the limited energy of the nodes to extend the lifetime of the sensor network. In this paper, the border coverage problem in sensor networks is rigorously analyzed. Unlike previous works in this area, we provide distributed algorithms that allow the selection and activation of an optimal border cover for both 2D and 3D sensor networks. We also provide self healing algorithms as an optimization to our border coverage algorithms which allow the border cover to adaptively reconfigure and repair itself in order to improve its own performance. Border coverage is crucial for optimizing sensor placement for intrusion detection and a number of other useful applications. Mathematical as well as experimental proofs are provided to validate the correctness and efficiency of our algorithms.
机译：无线通信和电子设备的最新进展使得低成本，低功耗的多功能传感器节点的开发尺寸小，并且在短距离中通信。随着传感器节点通常是电池操作，重要的是有效地使用节点的有限能量来延长传感器网络的寿命。在本文中，分析了传感器网络中的边界覆盖问题。与以前的工作不同，我们提供分布式算法，允许选择和激活2D和3D传感器网络的最佳边界盖。我们还向其边框覆盖算法提供自我修复算法，允许边框覆盖以自适应地重新配置和修复本身，以提高其自身性能。边框覆盖对于优化入侵检测和许多其他有用应用的传感器放置至关重要。提供数学以及实验证据以验证我们算法的正确性和效率。

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