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Relocating Sensor Nodes to Maximize Cumulative Connected Coverage in Wireless Sensor Networks

机译:重定位传感器节点以最大程度地累积无线传感器网络中的连接覆盖范围

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摘要

In order to extend the availability of the wireless sensor network and to extract maximum possible information from the surveillance area, proper usage of the power capacity of the sensor nodes is important. Our work describes a dynamic relocation algorithm called MaxNetLife, which is mainly based on utilizing the remaining power of individual sensor nodes as well as properly relocating sensor nodes so that all sensor nodes can transmit the data they sense to the sink. Hence, the algorithm maximizes total collected information from the surveillance area before the possible death of the sensor network by increasing cumulative connected coverage parameter of the network. A deterministic approach is used to deploy sensor nodes into the sensor field where Hexagonal Grid positioning is used to address and locate each sensor node. Sensor nodes those are not planned to be actively used in the close future in a specific cell are preemptively relocated to the cells those will be in need of additional sensor nodes to improve cumulative connected coverage of the network. MaxNetLife algorithm also includes the details of the relocation activities, which include preemptive migration of the redundant nodes to the cells before any coverage hole occurs because of death of a sensor node. Relocation Model, Data Aggregation Model, and Energy model of the algorithm are studied in detail. MaxNetLife algorithm is proved to be effective, scalable, and applicable through simulations.
机译:为了扩展无线传感器网络的可用性并从监视区域提取最大可能的信息,正确使用传感器节点的功率容量非常重要。我们的工作描述了一种称为MaxNetLife的动态重定位算法,该算法主要基于利用各个传感器节点的剩余电量以及正确地重定位传感器节点,以便所有传感器节点都可以将其感测到的数据传输到接收器。因此,该算法通过增加网络的累积连接覆盖范围参数,在传感器网络可能死亡之前,最大化了从监视区域收集的总信息。确定性方法用于将传感器节点部署到传感器字段中,其中六角网格定位用于寻址和定位每个传感器节点。那些不打算在不久的将来在特定小区中主动使用的传感器节点会抢先重定位到那些需要其他传感器节点以改善网络的累积连接覆盖范围的小区。 MaxNetLife算法还包括重新定位活动的详细信息,其中包括在由于传感器节点的死亡而发生任何覆盖漏洞之前,将冗余节点抢先迁移到单元。详细研究了该算法的重定位模型,数据聚合模型和能量模型。通过仿真,MaxNetLife算法被证明是有效,可扩展且适用的。

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