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27062 HACMAC: A reliable human activity-based medium access control for implantable body sensor networks
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Karuppiah Ramachandran, V.R. and Havinga, P.J.M. and Meratnia, N. (2016) HACMAC: A reliable human activity-based medium access control for implantable body sensor networks. In: Proceedings of the 13th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2016, 14-17 June 2016, San Francisco, CA, U.S.A. pp. 383-389. IEEE Computer Society. ISBN 978-1-5090-3087-3

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Chronic care is an eminent application of implantable body sensor networks (IBSN). Performing physical activities such as walking, running, and sitting is unavoidable during the long-term monitoring of chronic-care patients. These physical activities cripple the radio frequency (RF) signal between the implanted sensor nodes. This is because various body postures shadow the RF signal. Although shadowing itself may be short, a prolonged activity will significantly increase the effect of the RF-shadowing. This effect dampens the communication between implantable sensor nodes and hence increases the chance of missing life-critical data. To overcome this problem, in this paper we propose a link quality-aware medium access control (MAC) protocol called HACMAC, which adapts the access mechanism during different human activities based on the wireless link-quality. Our simulation results show that compared with the access mechanism suggested by the IEEE 802.15.6 standard, the reliability of the wireless communication is increased using HACMAC even while transmitting at a strongly low transmission power of 25µW effective isotropic radiated power (EIRP) set by the IEEE 802.15.6 standard

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-General
Research Project:CPS: Energy-efficient Computer-brain Interaction
Additional Information:Conference is complete. The proceedings will be online soon. DOI and official URL will be available once the proceedings are made online.
ID Code:27062
Deposited On:22 August 2016
More Information:statistics

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