Research Article
Channel Allocation for Medical Extra-WBAN Communications in Hybrid LiFi-WiFi Networks
@INPROCEEDINGS{10.1007/978-3-030-99200-2_15, author={Novignon C. Acakpo-Addra and Dapeng Wu and Andrews A. Okine}, title={Channel Allocation for Medical Extra-WBAN Communications in Hybrid LiFi-WiFi Networks}, proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings}, proceedings_a={CHINACOM}, year={2022}, month={4}, keywords={Channel allocation Optical wireless communications Remote health monitoring Wireless body area networks Wireless sensor networks}, doi={10.1007/978-3-030-99200-2_15} }- Novignon C. Acakpo-Addra
Dapeng Wu
Andrews A. Okine
Year: 2022
Channel Allocation for Medical Extra-WBAN Communications in Hybrid LiFi-WiFi Networks
CHINACOM
Springer
DOI: 10.1007/978-3-030-99200-2_15
Abstract
Electronic health (e-health) systems based on optical wireless communication (OWC) provide a means of meeting the low latency requirements of medical applications, while ensuring little or no interference to sensitive devices. Notwithstanding, an optical wireless link is susceptible to temporal obstructions and a reliable radio frequency (RF) link may still be required. Against this backdrop, hybrid radio-optical extra-body area networks are considered viable solutions towards the attainment of pervasive healthcare in the Internet of Things (IoT) era. In practice, these networks will more often than not be used for both medical and non-medical applications, which will increase the competition for limited channel resources. Thus, in this paper, we propose a channel allocation framework for hybrid LiFi and WiFi networks, with the objective of safeguarding the quality of service (QoS) of medical applications. The scheme allocates channels for medical applications first, and then shares the remaining channels in a proportionally fair manner. Simulation results validate the effectiveness of the proposed solution in minimizing the waiting time of the delay-constrained medical packets.
