The development of energy efficient FSSDN routing protocol based-cloud for large scale IoT communication

Abstract

With the fast advancement of Internet of Things (IoT) technology, significant recent research into IoT in Wireless Sensor Networks (WSNs) has resulted in a significant reliance on Software Defined Networking (SDN). WSN has the potential for integration into the IoT. WSNs consume some problems that reduce system performance, for instance, resource limits for sensors that may affect power supply, communication capacity, memory, and processing units. In this paper suggests an optimized routing protocol built on Artificial Intelligence (AI), i.e., Future Search Algorithm (FSA) and Particle Swarm Optimization (PSO). Also, recent technologies for the large-scale IoT network to choose the optimum set of Clusters Head (CHs) named Future Search Software Defined Network (FSSDN) are based on the distances between nodes and the remaining energy. The cloud technology and SDN architecture have been used for the large-scale network in the proposed protocol. Finally, the experimental results showed an enhanced system performance of many features, such as a lifetime of the network, energy dissipation, and the number of packets sent to the same sink's base station. For instance, the network lifetime of the suggested protocol has been better by approximately 61%, 46% and 23% compared to LEACH, SEP and optimized routing protocol PSO-C, consecutively.