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Centralized Boundary Discovery Algorithms for Anchor-Free Localization in Wireless Sensor Networks

机译:无线传感器网络中无锚定本地化的集中边界发现算法

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A study of localization techniques in the wireless sensor network are a subject of the many research team in the world. Most of the solutions propose the optimization in term of the accuracy of the coordinate's assignment improvement. However, the other very important metric considering the energy cost of the localization process also exists, but nowadays there is a lack of this work regarding to the study of localization in the energy consumption terms. This paper deals with the investigation of the anchor-free localization technique AFL and introduces the results from the simulations, where the energy cost of the several initial localization processes was investigated. We have focused on the work, with the centralized boundary discovery CBD algorithm to study its portion on the entire energy consumption.
机译:对无线传感器网络中的本地化技术的研究是世界上许多研究团队的主题。大多数解决方案都提出了坐标分配改进的准确性的优化。然而,考虑到本地化过程的能量成本的其他非常重要的度量也存在,但现在缺乏关于在能源消耗术语中研究本地化的工作。本文涉及对无锚定定位技术AFL的调查,并介绍了模拟的结果,其中研究了几种初始定位过程的能量成本。我们专注于工作,采用集中边界发现CBD算法研究其部分整个能耗。

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