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SDN Controller Placement in IoT Networks: An Optimized Submodularity-Based Approach.

Anh Khoa Tran1, Md Jalil Piran2, Chuan Pham3

  • 1Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam.

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|December 18, 2019
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Summary
This summary is machine-generated.

This study optimizes Software-Defined Networking (SDN) controller placement for Internet of Things (IoT) networks using submodularity optimization. The proposed heuristic algorithms improve efficiency and reduce latency compared to existing methods.

Keywords:
Internet of Things (IoT)SDN controller placementnetwork function virtualization (NFV)software-defined networking (SDN)

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Software-Defined Networking (SDN) offers a flexible approach for future networks, crucial for implementing Internet of Things (IoT) services by separating control and data planes.
  • Static SDN controller placement is inefficient for dynamic and distributed IoT environments, necessitating adaptive solutions.

Purpose of the Study:

  • To investigate an optimization framework for SDN controller placement in distributed IoT networks.
  • To address controller placement challenges using submodularity optimization theory.
  • To develop and evaluate heuristic algorithms for various IoT network scenarios.

Main Methods:

  • Formulated controller placement problems within a submodularity optimization framework.
  • Developed a series of heuristic algorithms tailored to basic and complex IoT use cases.
  • Conducted extensive simulations to compare proposed algorithms against baseline methods.

Main Results:

  • The proposed heuristic algorithms demonstrated superior performance over baseline methods.
  • Improvements were observed in execution time, required number of controllers, and network latency.
  • The framework effectively handles diverse controller placement scenarios in IoT networks.

Conclusions:

  • Submodularity optimization provides an effective theoretical basis for SDN controller placement in IoT.
  • The developed heuristic algorithms offer a practical and efficient solution for dynamic IoT environments.
  • The findings suggest significant improvements in network performance and resource utilization for IoT networks.