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SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm.

Ramin Mohammadi1, Sedat Akleylek2,3,4, Ali Ghaffari5,6

  • 1Ondokuz Mayis University, Department of Computational Sciences, Samsun, Türkiye.

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Summary
This summary is machine-generated.

This study introduces an efficient clustering method for the Internet of Things (IoT) using Software Defined Networking (SDN) and the Improved Sailfish Optimization (ISFO) algorithm, significantly reducing energy consumption in IoT networks.

Keywords:
ClusteringSDNSailfish optimization algorithm

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Area of Science:

  • Computer Science
  • Networking
  • Artificial Intelligence

Background:

  • The Internet of Things (IoT) faces challenges in data transmission due to resource limitations and the heterogeneity of billions of devices.
  • Cluster-based data transmission and Software Defined Networking (SDN) offer potential solutions for scalability, network lifetime, and flexibility in IoT.

Purpose of the Study:

  • To propose an efficient, SDN-based clustering scheme for IoT networks.
  • To enhance IoT device data transmission reliability and energy efficiency using an optimization algorithm.

Main Methods:

  • Developed an SDN-based clustering scheme integrating the Improved Sailfish Optimization (ISFO) algorithm.
  • Implemented the ISFO model on an SDN controller to manage Cluster Head (CH) nodes for IoT devices.
  • Evaluated performance through simulations with 150 and 300 IoT nodes.

Main Results:

  • The ISFO model demonstrated significant energy consumption reductions compared to LEACH and LEACH-E.
  • For 150 nodes, energy savings were approximately 21.42% (vs. LEACH) and 17.28% (vs. LEACH-E).
  • For 300 nodes, energy savings reached approximately 37.84% (vs. LEACH) and 27.23% (vs. LEACH-E).

Conclusions:

  • The proposed SDN-based ISFO clustering scheme effectively improves energy efficiency in IoT networks.
  • This approach offers a scalable and robust solution for managing heterogeneous IoT devices and their data transmission.
  • The ISFO algorithm provides a superior optimization method for IoT clustering compared to existing protocols.