F. Cuomo, Manuel Campo, Enrico Bassetti, Lorenzo Cartella, Federica Sole, G. Bianchi
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引用次数: 13
Abstract
LoRa is a promising technology in the current Internet of Things market, which operates in un-licensed bands achieving long-range communications and with ultra power devices. In this work we capitalize on the idea introduced in [1], i.e. balance the Air-Time of the different modulation spreading factors (SF), and adapt it to operate in a typical metropolitan scenario comprising multiple gateways (GWs) interconnected to a same network server. Our proposed approach, named ADaptive Mitigation of the AIr-time pressure in lORa (AD MAIORA), relies on a suitable measure of the per-spreading-factor load at each GW - quantified by means of a so-called pressure table -, and on a relevant heuristic algorithm which attempts to balance such a per-SF-pressure. Especially in cases of very loaded scenarios, where a high number of nodes insist on the same GWs, the use of AD MAIORA shows significant performance gains, up to a factor of 5 improvements with respect to the legacy LoRaWAN's Adaptive Data Rate.
LoRa是目前物联网市场上很有前途的技术,它可以在无许可的频段上运行,实现远程通信,并使用超功率设备。在这项工作中,我们利用了[1]中引入的思想,即平衡不同调制扩频因子(SF)的airtime,并使其适应在典型的城域场景中运行,该场景包括与同一网络服务器互连的多个网关(gw)。我们提出的方法,称为lORa空气时间压力的自适应缓解(AD MAIORA),依赖于每个GW的每扩展因子负载的适当测量-通过所谓的压力表进行量化-以及相关的启发式算法,该算法试图平衡这种每sf压力。特别是在负载非常大的情况下,大量节点坚持使用相同的gw, AD MAIORA的使用显示出显著的性能提升,与传统的LoRaWAN的自适应数据速率相比,性能提高了5倍。