查看更多>>摘要：Node Localization is a fundamental issue for many critical applications in Wireless sensor networks (WSNs). Traditional DV-Hop localization algorithm and corresponding improved ones still cannot provide sufficient localization accuracy in such WSNs. To ensure accurate localization, this paper proposes an improved Distance-vector-Hop (DV-Hop) localization algorithm. Under such an algorithm, we determine a corrected average hop-distance of beacon nodes by employing the differences between actual and estimated distance among beacon nodes in WSNs. We propose a probability information based selective strategy for the selection of beacon nodes. Based on these selected beacon nodes, we adopt a two dimensional hyperbolic function to predict the locations of unknown nodes. Simulation results are provided to illustrate the localization accuracy of our algorithm compared with traditional DV-Hop algorithm and its two improved algorithms in WSNs.
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