An overview of QoS-aware load balancing techniques in SDN-based IoT networks

Abstract

Increasing and heterogeneous service demands have led to traffic increase, and load imbalance challenges among network entities in the Internet of Things (IoT) environments. It can affect Quality of Service (QoS) parameters. By separating the network control layer from the data layer, Software-Defined Networking (SDN) has drawn the interest of many researchers. Efficient data flow management and better network performance can be reachable through load-balancing techniques in SDN and improve the quality of services in the IoT network. So, the combination of IoT and SDN, with conscious real-time traffic management and load control, plays an influential role in improving the QoS. To give a complete assessment of load-balancing strategies to enhance QoS parameters in SDN-based IoT networks (SD-IoT), a systematic review of recent research is presented here. In addition, the paper provides a comparative analysis of the relevant publications, trends, and future areas of study that are particularly useful for the community of researchers in the field.