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Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks

机译:利用移动性在稀疏无线传感器网络中实现有效覆盖

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Reliable monitoring of a large area with a Wireless Sensor Network (WSN) typically requires a very large number of stationary nodes, implying a prohibitive cost and excessive (radio) interference. Our objective is to develop an efficient system that will employ a smaller number of stationary nodes that will collaborate with a small set of mobile nodes in order to improve the area coverage. The main strength of this collaborative architecture stems from the ability of the mobile sensors to sample areas not covered (monitored) by stationary sensors. An important element of the proposed system is the ability of each mobile node to autonomously decide its path based on local information (i.e. a combination of self collected measurements and information gathered by stationary sensors in the mobile's communication range), which is essential in the context of large, distributed WSNs. The contribution of the paper is the development of a simple distributed algorithm that allows mobile nodes to autonomously navigate through the field and improve the area coverage. We present simulation results based on a real sparse stationary WSN deployment for the coverage improvement scenario.
机译:使用无线传感器网络(WSN)进行大范围的可靠监视通常需要非常多的固定节点,这意味着成本过高且干扰过多(无线电)。我们的目标是开发一个有效的系统,该系统将使用较少数量的固定节点,该固定节点将与少量移动节点协作以改善区域覆盖范围。这种协作体系结构的主要优势在于,移动传感器能够对未被固定传感器覆盖(监视)的区域进行采样。提议的系统的重要元素是每个移动节点基于本地信息(即,自收集的测量值和移动通信范围内的固定传感器收集的信息的组合)自主决定其路径的能力,这在上下文中至关重要大型分布式WSN。本文的贡献是开发了一种简单的分布式算法,该算法允许移动节点自主导航整个领域并改善区域覆盖范围。我们针对覆盖率提高的情况,基于实际的稀疏固定WSN部署提出了仿真结果。

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