In this article, we present the design and implementation of the software-defined IoT management (SDIM) framework based on software-defined networking (SDN)-enabled architecture that is purposely built for the edge computing multidomain wireless sensor networks (WSNs). This framework can dynamically provision the IoT devices to enable machine-to-machine (M2M) communication as well as continuous operational fault detection for WSNs. Unlike the existing approaches in the literature, SDIM is mainly deployed at multiaccess edge computing (MEC) nodes and is integrated with the cloud by aggregating multidomain topology information. Backed by the experimental results over the University of Bristol 5G test network, we demonstrate in practice that our framework outperforms the implementations of the lightweight M2M (LWM2M) and NETCONF Light IoT device management protocols when deployed autonomously at the network edge and/or the cloud. Specifically, SDIM edge deployments can lower the average device provisioning time as high as 46% compared to LWM2M and 60.3% compared to NETCONF Light. Moreover, it can decrease the average operational fault detection time by approximately 33% compared to LWM2M and roughly 40% compared to NETCONF Light. Also, SDIM reduces control operations time up to 27%, posing a powerful feature for use cases with time-critical control requirements. Last, SDIM manages to both reduce CPU consumption and to have important energy consumption gains at the network edge, which can reach as high as 20% during device provisioning and 4.5%_4.9% during fault detection compared to the benchmark framework deployments.

中文翻译：

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适用于边缘和云计算的软件定义的物联网设备管理框架


在本文中，我们介绍了基于软件定义网络 (SDN) 支持的架构的软件定义物联网管理 (SDIM) 框架的设计和实现，该架构专为边缘计算多域无线传感器网络 (WSN) 构建。该框架可以动态配置物联网设备，以实现机器对机器 (M2M) 通信以及 WSN 的连续运行故障检测。与文献中的现有方法不同，SDIM 主要部署在多访问边缘计算（MEC）节点上，并通过聚合多域拓扑信息与云集成。在布里斯托大学 5G 测试网络的实验结果的支持下，我们在实践中证明，当在网络边缘和/或云端自主部署时，我们的框架优于轻量级 M2M (LWM2M) 和 NETCONF Light IoT 设备管理协议的实现。具体而言，与 LWM2M 相比，SDIM 边缘部署可将平均设备配置时间缩短高达 46%，与 NETCONF Light 相比可缩短 60.3%。此外，与 LWM2M 相比，它可以将平均运行故障检测时间减少约 33%，与 NETCONF Light 相比，减少约 40%。此外，SDIM 将控制操作时间缩短了 27%，为具有时间关键控制要求的用例提供了强大的功能。最后，SDIM 成功降低了 CPU 消耗，并在网络边缘实现了重要的能耗增益，与基准框架部署相比，在设备配置期间可高达 20%，在故障检测期间可高达 4.5%_4.9%。