论文标题
弹性边缘：我们可以使用LPWAN和WIFI在物联网边缘实现网络弹性吗？
Resilient Edge: Can we achieve Network Resiliency at the IoT Edge using LPWAN and WiFi?
论文作者
论文摘要
由于在国内，工业和野生环境中采用了许多物联网（IoT）应用程序，因此Edge Computing近年来引起了人们的关注。这些应用程序的弹性和可靠性要求从非关键（最佳交付工作）到安全至关重要的保证。物联网边缘设备的网络连通性仍然是需要满足应用程序限制的服务质量（QoS）和耐故障保证的中心关键组件。因此，在这项工作中，我们系统地研究了如何满足多通信网络中的IOT应用程序的混合批判性QoS要求。我们（i）通过定义系统模型（II）来分析和评估许多最先进的LPWAN技术的带宽，潜伏期，吞吐量，最大包装大小，例如Sigfox，Lora，Lora，Lora和LTE（CAT-M1/NB-iot）和WII-FI，（III），（III III），（III II III，III，（III）适应性，以及适应性，我们（III），我们（iii III）介绍了（ii）的最大数据包，并评估系统模型（II）的带宽，延迟，最大数据包，并评估系统模型（III），则列出了（i），并评估系统模型（III），并评估适用于最新的LPWAN技术，并适合（CABF）资源分配算法使用Raspberry Pi 4和Pycom Fipy开发板具有五个多通信网络。我们介绍了如何使用多通信网络实现100％获得最佳及时高关键级别消息传递的发现
Edge computing has gained attention in recent years due to the adoption of many Internet of Things (IoT) applications in domestic, industrial and wild settings. The resiliency and reliability requirements of these applications vary from non-critical (best delivery efforts) to safety-critical with time-bounded guarantees. The network connectivity of IoT edge devices remains the central critical component that needs to meet the time-bounded Quality of Service (QoS) and fault-tolerance guarantees of the applications. Therefore, in this work, we systematically investigate how to meet IoT applications mixed-criticality QoS requirements in multi-communication networks. We (i) present the network resiliency requirements of IoT applications by defining a system model (ii) analyse and evaluate the bandwidth, latency, throughput, maximum packet size of many state-of-the-art LPWAN technologies, such as Sigfox, LoRa, and LTE (CAT-M1/NB-IoT) and Wi-Fi, (iii) implement and evaluate an adaptive system Resilient Edge and Criticality-Aware Best Fit (CABF) resource allocation algorithm to meet the application resiliency requirements using Raspberry Pi 4 and Pycom FiPy development board having five multi-communication networks. We present our findings on how to achieve 100% of the best-effort high criticality level message delivery using multi-communication networks
