Medical QoS provisioning for multi-class data in coexisting wireless body area networks

Emy Mariam George () and Lillykutty Jacob ()
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Emy Mariam George: National Institute of Technology Calicut
Lillykutty Jacob: National Institute of Technology Calicut

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 79, issue 1, No 12, 161 pages

Abstract: Abstract Increase in the popularity of non-invasive health monitoring systems has led to the large deployment of dedicated access points (APs) in a medical environment. Most of the existing literature assumes the wireless body area network (WBAN) association with the AP to be a nonissue but several factors can affect the medical quality of service (mQoS) requirements of the WBANs. The factors like the population associated with each AP, link quality between each WBAN and AP, and available capacity with each AP are some of them. Therefore to establish the best connectivity between each WBAN and its AP, a non-cooperative game based on a no-regret learning algorithm is proposed. A novel inter-WBAN communication model for packet transmission from each WBAN to its associated AP is also proposed. It is based on a dynamic priority scheduling in each WBAN coordinator and multi-class slotted Aloha (S-Aloha) reservation for data transmission from multiple WBAN coordinators to the APs. Simulation results show that the proposed scheme reduces the packet delays experienced by both the critical as well as the normal medical packets, when compared with two existing schemes, under different scenarios. The convergence behavior and the equilibrium efficiency of the proposed model are also validated.

Keywords: Medical QoS; Inter-WBAN communication; Congestion games; No-regret learning algorithm; Multi-class S-Aloha (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-021-00857-z

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