利用定时集群树拓扑实现LoRaWAN的大规模组网

Vitor Vasconcelos, E. Leão, Natanael Ribeiro, F. Vasques, C. Montez
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引用次数: 0

摘要

基于远程无线电调制(LoRa)的无线传感器网络(WSNs)可以使用LoRaWAN协议作为介质接入层。但是,该协议只支持单跳星型拓扑。因此,设备不能使用沿网络的重传来扩展其覆盖区域或规避距离、障碍物或来自其他无线电源的干扰的信号衰减。提出了一种基于定时簇树拓扑的多跳LoRaWAN大规模无线传感器网络。这种方法可以扩大网络的空间覆盖,减少冲突,提高网络的整体性能。多跳簇树拓扑消除了为了扩大单跳覆盖限制而调整LoRa无线电参数的需要。仿真结果表明,调度的簇树拓扑结构可以扩大网络覆盖范围,显著提高通信性能和能耗性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Scheduled Cluster-Tree Topology to Enable Wide-Scale LoRaWAN Networks
Wireless Sensor Networks (WSNs) based on the Long-Range radio modulation (LoRa) can use the LoRaWAN protocol as the medium access layer. However, this protocol only supports a single-hop star topology. As a consequence, devices can not use retransmissions along the network to extend their coverage area or to circumvent signal attenuation with distance, obstacles or interference from other radio sources. This paper proposes a multi-hop LoRaWAN wide-scale WSN based on a scheduled cluster-tree topology. This methodology can expand the spatial coverage of the network, decrease collisions, and improve overall network performance. A multi-hop cluster-tree topology eliminates the need for adjustments of LoRa radio parameters as an attempt to expand the single-hop coverage limitation. Simulation results show that the scheduled cluster-tree topology can scale the network coverage and significantly improve communication and energy consumption performances.
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