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Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks

机译:无线传感器网络中基于动态模糊逻辑的移动辅助定位路径规划

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Mobile anchor path planning techniques have provided as an alternative option for node localization in wireless sensor networks (WSNs). In such context, path planning is a movement pattern where a mobile anchor node’s movement is designed in order to achieve a maximum localization ratio possible with a minimum error rate. Typically, the mobility path planning is designed in advance, which is applicable when the mobile anchor has sufficient sources of energy and time. However, when the mobility movement is restricted or limited, a dynamic path planning design is needed. This paper proposes a novel distributed range-free movement mechanism for mobility-assisted localization in WSNs when the mobile anchor’s movement is limited. The designed movement is formed in real-time pattern using a fuzzy-logic approach based on the information received from the network and the nodes’ deployment. Our proposed model, Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization in WSNs (FLPPL), offers superior results in several metrics including both localization accuracy and localization ratio in comparison to other similar works.
机译:移动锚点路径规划技术已作为无线传感器网络(WSN)中节点定位的替代选项提供。在这种情况下,路径规划是一种移动模式,其中设计了移动锚节点的移动,以便以最小的错误率实现最大的定位比。通常,移动路径规划是预先设计的,适用于移动锚具有足够的能量和时间来源的情况。但是,当限制或限制移动性运动时,需要动态路径规划设计。本文提出了一种新颖的分布式无范围运动机制,用于当移动锚的运动受到限制时,在WSN中进行移动辅助定位。根据从网络和节点的部署中接收到的信息,使用模糊逻辑方法以实时模式形成设计的运动。我们提出的模型,基于模糊逻辑的WSN中移动锚辅助定位的路径规划(FLPPL),与其他类似作品相比,在包括定位精度和定位率在内的多个指标中均提供了优异的结果。

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