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Localization using beacon in wireless sensor networks to detect faulty nodes and accuracy improvement through DV-Hop algorithm

机译:在无线传感器网络中使用信标定位,以检测故障节点并通过DV-Hop算法提高准确性

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Now a days, Wireless Sensor Networks (WSN) are emerging as a challenging and interesting area. Wireless Sensor Network consists of a large number of heterogeneous or homogeneous sensor nodes which communicates through wireless medium and works together to sense or monitor the environment. The number of sensor nodes in a network can vary from hundreds to thousands. The node senses data from environment and sends these data to the gateway node. Mostly WSNs are used for applications such as military surveillance and disaster monitoring. WSNs are multi-hop networks, which depend on the intermediate nodes to relay the data packet to the destination. These nodes are equipped with lesser memory, limited battery power, little computation capability, small range of communication and need a secured and efficient routing path to forward the incoming packet delay by data aggregation) and multipath sensor networks to increase the resilience and reliability of the network. The localization information is crucial for the operation of WSN. There are mainly two types of Localization algorithms. The Range-based localization algorithm has requirements on hardware, thus is expensive to be implemented in practice. The Range-free localization algorithm reduces the hardware cost. In this paper we locate known nodes by placement (DV Hop) in various locations for best result. Our algorithm improves the localization accuracy compared with previous algorithms, which has been demonstrated by the simulating results.
机译:如今,无线传感器网络(WSN)已经成为一个充满挑战和有趣的领域。无线传感器网络由大量异构或同类的传感器节点组成,这些传感器节点通过无线介质进行通信,并共同工作以感测或监视环境。网络中的传感器节点数量可能从数百到数千不等。节点从环境中感测数据,并将这些数据发送到网关节点。 WSN通常用于军事监视和灾难监视等应用。 WSN是多跳网络,其依赖于中间节点将数据包中继到目的地。这些节点配备较少的内存,有限的电池电量,很少的计算能力,较小的通信范围,并且需要安全有效的路由路径以通过数据聚合转发传入的数据包延迟)和多路径传感器网络,以提高节点的弹性和可靠性。网络。本地化信息对于WSN的运行至关重要。主要有两种类型的本地化算法。基于范围的定位算法对硬件有要求,因此在实践中实施起来很昂贵。无范围定位算法可降低硬件成本。在本文中,我们通过放置(DV Hop)在各个位置定位已知节点来获得最佳结果。仿真结果表明,与以前的算法相比,我们的算法提高了定位精度。

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