Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond
Journal of Ambient Intelligence and Smart Environments
RACOON: A Multiuser QoS Design for Mobile Wireless Body Area Networks
Journal of Medical Systems
Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond
Journal of Ambient Intelligence and Smart Environments
Wireless Personal Communications: An International Journal
A data analysis driven streaming framework for body sensor area networks
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Wireless body sensor networks operate under the conflicting requirements of maintaining the desired reliability and message latency of data transmissions, while simultaneously maximizing battery-life of individual body sensors. In doing so, the characteristics of the operating environment, including physical, MAC and application layers have to be considered. The aim of this paper is the study of a novel quality-of-service fuzzy-rule based cross-layer scheduling algorithm under certain selected medical scenarios for body sensor networks optimization. To fulfill the above-mentioned requirements, not only are data packet transmissions scheduled taking the channel quality state among sensors into account, but also their packet waiting time in the accessing system and the specific body sensor applicability. Hereby we utilize an adapted distributed queuing MAC protocol that has recently been proved to be far more energy-efficient than the IEEE 802.15.4 standard for wireless sensor networks.