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DISTRIBUTED DEPLOYMENT ALGORITHM BASED ON BOUNDARY EXPANSION AND VIRTUAL FORCE FOR MOBILE SENSOR NETWORKS

机译:基于边界扩展和虚拟力的移动传感器网络分布式部署算法

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Optimization of sensors' position is a challenging problem in wireless sensor networks since the processing process significantly affects energy consumption, surveillance ability and network lifetime. Vectorbased algorithm (VEC) and Voronoi-based algorithm (VOR) are two existing approaches. However, VEC is sensitive to initial deployment, while VOR always moves to the coverage holes. Moreover, the nodes in a network may oscillate for a long time before they reach the equilibrium state. This paper presents an initially central deployment model that is cost effective and easy to implement. In this model, we present a new distributed deployment algorithm based on boundary expansion and virtual force (BEVF). The proposed scheme enables nodes to move to the boundary rapidly and ultimately reach equilibrium quickly. For a node, only the location of its nearby nodes and boundary information are needed in the algorithm, thereby avoiding communication cost for transmitting global information. The distance threshold is adopted to limit node movement and to avoid node oscillations. Finally, we compare BEVF with existing algorithms Results show that the proposed algorithm achieves a much larger coverage and consumes lower energy.
机译:在无线传感器网络中,传感器位置的优化是一个具有挑战性的问题,因为处理过程会显着影响能耗,监视能力和网络寿命。基于向量的算法(VEC)和基于Voronoi的算法(VOR)是两种现有方法。但是,VEC对初始部署很敏感,而VOR始终会移至覆盖漏洞。此外,网络中的节点在达到平衡状态之前可能会振荡很长时间。本文介绍了最初的集中部署模型,该模型具有成本效益且易于实施。在此模型中,我们提出了一种基于边界扩展和虚拟力(BEVF)的新的分布式部署算法。所提出的方案使节点能够快速移动到边界并最终快速达到平衡。对于一个节点,该算法仅需要其附近节点的位置和边界信息,从而避免了传输全局信息的通信成本。采用距离阈值来限制节点移动并避免节点振荡。最后,我们将BEVF与现有算法进行了比较。结果表明,该算法实现了更大的覆盖范围并消耗了较低的能量。

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