Abstract
Internet of Things (IoT) enabled WBAN systems play a crucial role in healthcare monitoring, enhancing patients’ well-being at an affordable cost. However, their primary challenge lies in energy constraints. To optimize the limited energy resources and extend the lifetime of devices within the network, a multi-channel MAC protocol with Markov decision process (MDP-HYMAC) is proposed. This protocol improves energy efficiency, throughput, and network lifetime, and minimizes delays by using separate channels for communication between biomedical devices and access points (APs). In addition, a Markov decision process is employed to stochastically model the systems’ transition states and explore optimal communication strategies between biomedical devices and APs. Furthermore, an adaptive power allocation scheme, a time-slot allocation scheme, and a back-off strategy are designed to minimize time-slot wastage, energy consumption, and delays. The proposed protocol outperforms the baseline methods by achieving significant improvements in energy efficiency from 4% to 22%. The findings of this research strongly indicate that the proposed protocol has the potential to significantly improve the performance of WBAN systems, particularly in the context of sustainable healthcare monitoring.
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Original language | English |
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Pages (from-to) | 27981-27997 |
Journal | IEEE Sensors Journal |
Volume | 24 |
Issue number | 17 |
Online published | 25 Jul 2024 |
DOIs | |
Publication status | Published - 1 Sept 2024 |
Research Keywords
- Body area networks
- channel efficiency
- Delays
- energy efficiency
- Energy efficiency
- healthcare monitoring
- IEEE 802.15 Standard
- Internet of Things
- Media Access Control
- multi-channel MAC protocol design
- Protocols
- reinforcement learning
- wireless body area network
- Wireless communication