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Weighted Localized Clustering: A Coverage-Aware Reader Collision Arbitration Protocol in RFID Networks

机译:加权本地化群集:RFID网络中的覆盖感知读取器碰撞仲裁协议

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This paper addresses a weighted localized scheme and its application to the hierarchical clustering architecture, which results in reduced overlapping areas of clusters. Our previous proposed scheme, Low-Energy Localized Clustering (LLC), dynamically regulates the radius of each cluster for minimizing energy consumption of cluster heads (CHs) while the entire network field is still being covered by each cluster in sensor networks. We present weighted Low-Energy Localized Clustering (w-LLC), which has better efficiency than LLC by assigning weight functions to each CH. Drew on the w-LLC scheme, weighted Localized Clustering for RFID networks (w-LCR) addresses a coverage-aware reader collision arbitration protocol as an application. ui-LCR is a protocol that minimizes collisions by minimizing overlapping areas of clusters.
机译:本文讨论了加权本地化方案及其在分层聚类架构中的应用,从而导致群集的重叠区域。我们之前提出的方案,低能量本地化聚类(LLC),动态调节每个集群的半径,以最大限度地减少集群头(CHS)的能量消耗,而传感器网络中的每个群集仍覆盖整个网络字段。我们通过将重量函数分配给每个CH来呈现加权低能量局部聚类(W-LLC),其比LLC更好。 DREW在W-LLC方案上,RFID网络(W-LCR)的加权本地化聚类将覆盖感知读取器碰撞仲裁协议作为应用程序解决。 UI-LCR是通过最小化集群的重叠区域来最小化碰撞的协议。

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