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Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications.
Khalid Hasan1, Khandakar Ahmed2, Kamanashis Biswas3
1School of Information and Communication Technology, Griffith University, 58 Parklands Dr, Southport, QLD 4222, Australia.
Sensors (Basel, Switzerland)
|August 1, 2020
Summary
This study introduces a mathematical model to find the optimal number of controllers for Software-Defined Wireless Body Area Networks (SDWBANs) in healthcare. The model ensures high packet delivery and low latency for effective patient monitoring.
Area of Science:
- Computer Science
- Biomedical Engineering
- Network Engineering
Background:
- Software-Defined Networking (SDN) enhances network management flexibility and scalability.
- Wireless Body Area Networks (WBANs) are crucial for healthcare services, with SDWBANs offering improved patient monitoring.
- The performance of SDWBANs heavily relies on the optimal number of controllers in the control plane.
Purpose of the Study:
- To propose a mathematical model for determining the optimal number of controllers in SDWBAN frameworks for healthcare applications.
- To enhance the performance and control of network traffic in SDWBANs.
Main Methods:
- Developed a mathematical model using convex optimization.
- Incorporated key factors: number of controllers, latency, and number of SDN-enabled switches (SDESW).
- Validated the analytical model through simulations using Castalia 3.2.
Main Results:
- The proposed model accurately determines the optimal number of controllers for SDWBANs.
- Simulations confirmed that the optimal controller number leads to a high Packet Delivery Ratio (PDR).
- The optimal configuration resulted in significantly reduced network latency.
Conclusions:
- The mathematical model provides an effective method for optimizing SDWBAN controller deployment in healthcare.
- Achieving an optimal number of controllers is critical for maximizing SDWBAN performance, specifically PDR and latency.
- This research contributes to more efficient and reliable wireless healthcare monitoring systems.
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