Scalability Analysis and Performance Measurement of LoRa Network for Smart City Using Internet of Things

Vishal Sharma, A. Roy, T. Raj
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引用次数: 1

Abstract

Now a days, Internet of Things (IoT) technology is becoming popular worldwide due to the increasing awareness to connect multifarious objects via internet in a pragmatic manner. IoT technology is constantly playing a key role in effective and pragmatic management of numerous assets of smart city as demanded in modern world. The principal objective of this investigation is to examine the scalability as well as performance measurement of LoRa (Long Range) network for the smart city using IoT. Furthermore, this research contributes to determine maximum sensors that are integrated in smart city model to control and mange various assets in less power consumption. The motive behind this investigation was to measure LoRa networks scalability, considering multifarious factors namely packets payload sizes, spreading factors, total nodes as well as parameters of the duty cycle. The investigational outcomes disclose that highest LoRa sensors which may converse on same network are 1600.
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基于物联网的智慧城市LoRa网络可扩展性分析与性能测量
如今,物联网(IoT)技术正在全球范围内流行,因为人们越来越意识到通过互联网以实用的方式连接各种物体。物联网技术在现代世界对智慧城市众多资产的有效和务实管理中不断发挥着关键作用。本研究的主要目的是研究使用物联网的智慧城市的LoRa(远程)网络的可扩展性和性能测量。此外,本研究有助于确定集成在智慧城市模型中的最大传感器,以更少的功耗控制和管理各种资产。这项调查背后的动机是衡量LoRa网络的可伸缩性,考虑多种因素,即数据包有效负载大小、传播因素、总节点以及占空比参数。研究结果表明,可在同一网络上进行会话的LoRa传感器最高为1600。
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