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A pragmatic approach to area coverage in hybrid wireless sensor networks?

机译:混合无线传感器网络中实用的区域覆盖方法?

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Success of Wireless Sensor Networks (WSN) largely depends on whether the deployed network can provide desired area coverage with acceptable network lifetime. This paper seeks to address the problem of determining the current coverage achieved by the non-deterministic deployment of static sensor nodes and subsequently enhancing the coverage using mobile sensors. We identify three key elements that are critical for ensuring effective area coverage in Hybrid WSN: (i) determining the boundary of the target region and evaluating the area coverage (ii) locating coverage holes and maneuvering mobile nodes to fill these voids, and (iii) maintaining the desired coverage over the entire operational lifetime of the network. We propose a comprehensive solution that addresses all of the aforementioned aspects of the area coverage, called MAPC (mobility assisted probabilistic coverage). MAPC is a distributed protocol that operates in three distinct phases. The first phase identifies the boundary nodes using the geometric right-hand rule. Next, the static nodes calculate the area coverage and identify coverage holes using a novel probabilistic coverage algorithm (PCA). PCA incorporates realistic sensing coverage model for range-based sensors. The second phase of MAPC is responsible for navigating the mobile nodes to plug the coverage holes. We propose a set of coverage and energy-aware variants of the basic virtual force algorithm (VFA). Finally, the third phase addresses the problem of coverage loss due to faulty and energy depleted nodes. We formulate this problem as an Integer Linear Program (ILP) and propose practical heuristic solutions that achieve similar performance as that of the optimal ILP solution. A guiding principle in our design process has been to ensure that the MAPC can be readily implemented in real-world applications. We implemented the boundary detection and PCA algorithm (i.e., Phase I) of the MAPC protocol on off-the-shelf sensor nodes and results show that the MAPC can successfully identify boundary nodes and accurately determine the area coverage in the presence of real radio irregularities observed during the experiments. Extensive simulations were carried out to evaluate the complete MAPC protocol and the results demonstrate that MAPC can enhance and maintain the area coverage, while reducing the total energy consumption by up to 70% as compared with the basic VFA.
机译:无线传感器网络(WSN)的成功在很大程度上取决于部署的网络是否可以在可接受的网络生命周期内提供所需的区域覆盖。本文旨在解决确定通过不确定性部署静态传感器节点实现当前覆盖范围并随后使用移动传感器增强覆盖范围的问题。我们确定了三个关键要素,这些要素对于确保混合WSN中的有效区域覆盖至关重要:(i)确定目标区域的边界并评估区域覆盖(ii)定位覆盖孔并操纵移动节点以填补这些空白,并且(iii )在网络的整个使用寿命内保持理想的覆盖范围。我们提出了一种全面的解决方案,解决了上述区域覆盖的所有方面,称为MAPC(移动辅助概率覆盖)。 MAPC是在三个不同阶段运行的分布式协议。第一阶段使用几何右手定则识别边界节点。接下来,静态节点使用新颖的概率覆盖算法(PCA)计算区域覆盖率并识别覆盖孔。 PCA结合了基于距离传感器的真实感测覆盖模型。 MAPC的第二阶段负责导航移动节点以堵塞覆盖范围。我们提出了一组基本虚拟力算法(VFA)的覆盖范围和能量感知变体。最后,第三阶段解决了由于故障节点和能量耗尽节点而导致的覆盖范围丢失的问题。我们将此问题公式化为整数线性程序(ILP),并提出实用的启发式解决方案,该解决方案可实现与最佳ILP解决方案相似的性能。我们设计过程中的指导原则是确保可以在实际应用中轻松实现MAPC。我们在现成的传感器节点上实现了MAPC协议的边界检测和PCA算法(即阶段I),结果表明,在存在真实无线电不规则性的情况下,MAPC可以成功识别边界节点并准确确定区域覆盖范围在实验过程中观察到的。进行了广泛的仿真以评估完整的MAPC协议,结果表明MAPC可以增强和维持区域覆盖范围,同时与基本VFA相比最多可减少70%的总能耗。

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