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An Interference-Aware Optimal Data Collection Scheduling for Wi-SUN Advanced Metering Infrastructure Network

机译:Wi-SUN高级计量基础架构网络的干扰感知最佳数据收集计划

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Advanced metering infrastructure (AMI) based on Wireless Smart Utility Network (Wi-SUN) employs carrier sense multiple access (CSMA), hence suffers from poor network performance when the number of nodes increases but without proper design of data collection scheduling. In this paper, we introduce an interference-aware TDMA-like optimal data collection scheduling, in which a link-timeslot assignment problem is formed by considering interference constraint to achieve better spatial timeslot reuse. A constraint for achieving consecutive flow for multi-hop transmission is also introduced to avoid modifications on the original CSMA protocol, and hence the proposed scheduling is standard compliant. Our results show that the proposed scheduling reduces the total data collection time of Wi-SUN AMI network with 100(200) smart meters by 59%(48%), 33%(32%), and 19%(13%), respectively, when compared with conventional Wi-SUN AMI, conventional TDMA scheduling and heuristic scheduling based on 2-rank distance interference model.
机译:基于无线智能公用网络(Wi-SUN)的高级计量基础架构(AMI)采用载波侦听多路访问(CSMA),因此,当节点数量增加但没有适当设计数据收集调度时,网络性能会很差。在本文中,我们介绍了一种类似干扰的TDMA最佳数据收集调度,其中通过考虑干扰约束来形成链路时隙分配问题,以实现更好的空间时隙重用。还引入了用于实现多跳传输的连续流的约束,以避免对原始CSMA协议进行修改,因此建议的调度符合标准。我们的结果表明,所提出的调度方案将100(200)个智能电表的Wi-SUN AMI网络的总数据收集时间分别减少了59%(48%),33%(32%)和19%(13%)。与传统的Wi-SUN AMI相比,传统的TDMA调度和基于2秩距离干扰模型的启发式调度。

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