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Paired Measurement Localization: A Robust Approach for Wireless Localization

机译:配对测量定位:一种可靠的无线定位方法

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Location awareness remains the key for many potential future applications of distributed wireless ad hoc sensor networks (WSNs). While the location of a WSN node can be estimated by incorporating Global Positioning System (GPS) devices, it is not suitable to embed GPS receivers in every node considering the cost and size of these devices as well as from an optimization point of view. However, a small number of WSNs nodes called anchor nodes are able to resolve their location either through fixed deployment or using GPS receivers, and thereby provide the reference framework for localization of other nodes. The measurement devices in individual nodes are often erroneous for tiny WSNs nodes, and hence, robustness is a major issue for localization. In this paper, a theoretical localization framework in the presence of noise is postulated, which achieves accurate positioning compared to the existing theoretical approaches. The paired measurement localization (PML) strategy is evaluated through simulations under various noise conditions and environmental modeling, and practically verified by a testbed implementation with real motes. The results corroborate the improved positioning as well as the robustness of PML for ad hoc wireless sensor networks in the presence of noise.
机译:位置感知仍然是分布式无线自组织传感器网络(WSN)未来许多潜在应用的关键。虽然可以通过合并全球定位系统(GPS)设备来估算WSN节点的位置,但考虑到这些设备的成本和尺寸以及从优化的角度来看,不适合将GPS接收器嵌入每个节点中。但是,少数称为锚节点的WSN节点能够通过固定部署或使用GPS接收器解析其位置,从而为其他节点的定位提供了参考框架。单个节点中的测量设备对于微小的WSN节点通常是错误的,因此,鲁棒性是本地化的主要问题。本文假设存在噪声的情况下,理论上的定位框架,与现有的理论方法相比,可以实现精确的定位。配对测量本地化(PML)策略是通过在各种噪声条件和环境模型下进行的模拟评估来评估的,并通过具有真实粒子的测试平台实施进行了实际验证。该结果证实了在存在噪声的情况下,用于ad hoc无线传感器网络的PML的定位得到了改进,以及鲁棒性。

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