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A Load Balancing Mechanism for a Multi-controller Software Defined WiFi Network

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Advances in Artificial Intelligence and Security (ICAIS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1422))

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Abstract

Software defined WiFi networks (SD-WiFi) lead to a promising evolution path, by supporting changes in network traffic, providing centralized network provisioning and allowing flexible resource allocation. Load balancing still remains a challenging issue due to the increased number of WiFi users. In this paper, we propose an efficient algorithmic approach to solve the load imbalance issue in SD-WiFi. Traffic generated by users constituting the load, arrive at WiFi access points (APs). Support vector machine (SVM) segregates the traffic into high priority class (HP) and low priority class (LP) by considering flow deadlines and flow types. Controllers are arranged in two-tiers: global and local controllers. The local controllers (LC) update their load information to the global controller (GC) periodically. Binary search tree (BST) is employed in the GC to find the least loaded LC for flow processing. OMNeT++ simulator is used to perform extensive simulations for performance evaluation of the proposed SVM-BST scheme. The proposed SVM-BST scheme outperforms load information strategy and EASM schemes in throughput by 50–200% and in response time by 20–30% respectively.

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Acknowledgment

We thank our guide Dr. Xiaojun Hei, Associate Professor at school of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China, for providing us the advanced lab facilities for computational experiments.

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Authors and Affiliations

  1. Department of Electrical, Mirpur University of Science and Technology (MUST), Mirpur, 10250, (AJK), Pakistan

    Sohaib Manzoor & Anzar Mahmood

  2. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China

    Hira Manzoor

  3. Department of CS and IT, Mirpur University of Science and Technology (MUST), Mirpur, 10250, (AJK), Pakistan

    Mahak Manzoor

Authors
  1. Sohaib Manzoor
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  2. Hira Manzoor
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  3. Mahak Manzoor
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  4. Anzar Mahmood
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Corresponding author

Correspondence to Sohaib Manzoor .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Manzoor, S., Manzoor, H., Manzoor, M., Mahmood, A. (2021). A Load Balancing Mechanism for a Multi-controller Software Defined WiFi Network. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2021. Communications in Computer and Information Science, vol 1422. Springer, Cham. https://doi.org/10.1007/978-3-030-78615-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-78615-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78614-4

  • Online ISBN: 978-3-030-78615-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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