Software Defined Network (SDN) brought revolution in the network field with the partnership of Academia and Industry. SDN bridges the gap to overcome issues of IoT deployment, optimization and better utilization of network resources. The escalation in resource congestion in Wireless Sensor Networks (WSNs) can usually lead to scalability, data computation or storage, and energy efficiency problems with only a single sink node for data acquisition. Internet of Things (IoT) has resource and energy constraints for WSN devices. Low Power and Lossy Networks (LLNs) ought to be optimized for traffic with multiple sinks. RPL routing has constraints to support this approach. However, RPL inherits the ability to offer features like Auto-Configuration, Self-Healing, Loop avoidance, and detection. These features of RPL can be transformed into the improved performance of a WSN by increasing the number of sinks with a linear increase of data transmitting nodes in the network. Further, to mitigate the escalated computing needs, edge computing has emerged as a new paradigm to resolve SDN-enabled IoT and localized computing needs. This study proposes an SDN-based solution to the interconnectivity of resource constraint LLN devices with edge computing routers in mesh and cluster topological scenario using RPL as IoT routing protocol. Performance evaluation concerning different routing metrics and objective functions: Minimum Rank with Hysteresis Function (MRHOF) and Zero (OF0) are analyzed. COOJA simulator is used for emulation of random as well as linear grid topologies for the creation of WSN static nodes. Simulation results confirm that the gradual increase of a number of nodes from 16, 32, 48, 64 and a simultaneous increase in sinks nodes as 1, 2, 3, 4 respectively in LLN network reflects the desired advantages with the stable network.

中文翻译：

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基于 SDN 的物联网中支持多接收器的低功耗网络的网络性能增强

软件定义网络（SDN）在学术界和工业界的合作下带来了网络领域的革命。SDN 弥合了这一差距，以克服物联网部署、优化和更好地利用网络资源的问题。无线传感器网络 (WSN) 中资源拥塞的升级通常会导致可扩展性、数据计算或存储以及能源效率问题，因为只有一个接收器节点用于数据采集。物联网 (IoT) 对 WSN 设备具有资源和能源限制。低功耗和有损网络 (LLN) 应该针对具有多个接收器的流量进行优化。RPL 路由具有支持这种方法的约束。但是，RPL 继承了提供自动配置、自我修复、循环避免和检测等功能的能力。RPL 的这些特性可以通过随着网络中数据传输节点的线性增加而增加接收器的数量来转化为 WSN 的改进性能。此外，为了缓解不断升级的计算需求，边缘计算已成为解决支持 SDN 的物联网和本地化计算需求的新范式。本研究提出了一种基于 SDN 的解决方案，用于使用 RPL 作为物联网路由协议的网格和集群拓扑场景中资源约束 LLN 设备与边缘计算路由器的互连。关于不同路由度量和目标函数的性能评估：分析了具有滞后函数 (MRHOF) 和零 (OF0) 的最小等级。COOJA 模拟器用于模拟随机和线性网格拓扑，以创建 WSN 静态节点。