Novel Data Transmission Schemes for Inter-WBAN Networks Using Markov Decision Process

Area of Science:

• Biomedical Engineering
• Computer Science
• Wireless Communications

Background:

• Multiple wireless body area networks (WBANs) in proximity, such as in smart home environments, can lead to inter-BAN interference.
• Individual WBAN coordinators need adaptive transmission strategies to ensure reliable data delivery for vital signs monitoring.
• Interference management is crucial for maintaining the performance and integrity of WBANs in shared environments.

Purpose of the Study:

• To propose a stochastic model for WBAN coordinator units in a multi-WBAN scenario.
• To develop adaptive transmission strategies that balance data transmission likelihood and packet loss minimization.
• To enhance the reliability of vital signs monitoring in coexisting WBANs.

Main Methods:

• A stochastic model was developed for WBAN coordinator units.
• The transmission strategy problem was formulated as a Markov Decision Process (MDP).
• Channel conditions and buffer status were used as state parameters in the MDP, solved offline.

Main Results:

• Optimal transmission strategies were determined for various input conditions.
• The proposed scheme demonstrated robustness in simulations under diverse operating conditions.
• Effective management of inter-WBAN interference was achieved.

Conclusions:

• The developed stochastic model and MDP-based strategies effectively address inter-WBAN interference.
• The proposed approach ensures reliable data transmission for vital signs monitoring in multi-WBAN systems.
• The findings support the deployment of robust WBANs in smart home healthcare applications.