LoRaWAN Network Capacity for Practical Network Planning in India
LoRaWAN Network Capacity for Practical Network Planning in India
复制标题
印度实际网络规划的 LoRaWAN 网络容量
DOI：
10.23919/ursiap-rasc.2019.8738342
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
V. Tyagi
中科院分区：
文献类型：
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作者：
P. K. Dalela;Smriti Sachdev;V. Tyagi
LoRaWAN是低功率广域网（LPWAN）领域物联网应用的一项有前途的技术，在世界多个地区得到了快速部署。在灾后传统网络瘫痪的情况下，它还可能作为一种替代通信媒体。然而，在这种情况下，由于设备密度高和频繁交换大消息，通信需求远高于典型的物联网用例。因此，进行部署前研究以了解网络的局限性是很重要的。在本文中，我们对每个LoRaWAN网关可支持的终端设备数量进行了MATLAB分析。显示了网关容量对不同类型应用程序的新消息的长度和生成速率的依赖关系。本文还强调了目前可用的LoRaWAN网关技术的硬件架构的局限性，这进一步限制了网络的容量。给出的结果表明，实际可实现的容量比理论估计显着降低。针对不同的负载，给出了LoRaWAN网关的容量上限和下限。这种分析对于网络服务提供商和应用程序提供商在确定网络需求和部署场景时非常有用，特别是对于灾后特设网络。
LoRaWAN is a promising technology for IoT applications in the Low Power Wide Area Network (LPWAN) space and has seen rapid deployment in several parts of the world. It can also potentially serve as an alternative communication media in post-disaster scenarios when conventional networks are down. However, in such scenarios, the communication needs are much higher than in typical IoT use cases due to high density of devices and frequent exchange of large messages. Hence, it is important to conduct pre-deployment studies to understand the limitations of the network. In this paper, we present a MATLAB analysis of the number of enddevices that can be supported per LoRaWAN gateway. The dependence of gateway capacity on the length and rate of generation of new messages for different kinds of applications is shown. This paper also highlights the limitations of the hardware architecture of the currently available LoRaWAN gateway technology, which further limits the capacity of the network. Presented results demonstrate that practically achievable capacity is significantly reduced from the theoretical estimate. Upper and lower bounds on the capacity of the LoRaWAN gateway are obtained for different payloads. This analysis can be useful for network service providers and application providers in finalizing network requirements and deployment scenarios especially for post-disaster adhoc networks.