Load Balancing in Software-Defined Networks Using Spider Monkey Optimization Algorithm for the Internet of Things
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Load Balancing in Software‑Defined Networks Using Spider Monkey Optimization Algorithm for the Internet of Things Jayaprakash Mayilsamy1 · Devi Priya Rangasamy2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In the Internet of Things (IoT), the number of devices connected to the internet, and they can collect and exchange information at any time. IoT is helpful for the progress of a smart city and different applications. Software-Defined Network (SDN) offers programmability and flexibility in the IoT network. Nevertheless, the adoption of the number of gadgets will increase the transmission delay and this will lead the network to heavy loaded. To overcome this issue, an efficient load balancing technique has to be presented in the SDN network. By considering this solution as an aim, spider monkey optimization algorithm based load balancing (LB-SMOA) is presented in this paper. Using this technique, the controller with minimum load is selected and this selected controller balances the load of the heavily loaded controller. Simulation results show that the performance of the proposed LBSMOA outperforms the existing load balancing techniques in terms of average response time, packet loss rate, and throughput. Keywords Internet of Things (IoT) · Software defined network (SDN) · Load balancing · Spider monkey optimization algorithm · SDN controller
1 Introduction In the future, Billions of gadgets will be associated with the internet. Accordingly, it is normally a genuine insurgency on the measure of information accumulated and shared. This is known as the Internet of Things (IoT) [1–4]. For the most part, physical gadgets furnished with RFID labels, actuators, remote sensors, as well as remote communication gadgets are associated with the Internet to shape IoT arrange. These gadgets are explicitly conveyed in application setting to take part in making a smart situation going from cell systems to Machine-to-Machine (M2M) correspondence, from vehicular systems to remote sensor systems, and in embedded frameworks, and so forth. IoT gateways are key empowering influences for IoT and regularly comprise of small gateways that can interconnect dispersed * Jayaprakash Mayilsamy [email protected] 1
Department of CSE, AVS Engineering College, Military road, Ammapet, Salem 636003, Tamilnadu, India
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Department of Information Technology, Kongu Engineering College, Erode, India
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remote sensors, interconnected through wireless sensor systems (WSN), and going about as an internet gateway for the interconnected gadgets [5]. SDN [6] is required to be a key empowering agent for the future generation networks, the purported 5G systems, which should coordinate both IoT benefits together with customary human-based services. SDN controller isolates data planes and control planes in the system [7, 8]. In like manner, SDN gives the upsides of programmability, mechanization, and system control, empowering the administrator to fabricate exc
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