Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
ATPC: adaptive transmission power control for wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Adapting radio transmit power in wireless body area sensor networks
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Body posture identification using hidden Markov model with a wearable sensor network
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
System architecture of a wireless body area sensor network for ubiquitous health monitoring
Journal of Mobile Multimedia
Achieving efficient flooding by utilizing link correlation in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Providing reliable and real-time delivery in the presence of body shadowing in breadcrumb systems
ACM Transactions on Embedded Computing Systems (TECS)
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This article presents a novel transmission power assignment mechanism for on-body wireless links formed between severely energy-constrained wearable and implanted sensors. The key idea is to develop a measurement-based framework in which the postural position as it pertains to a given wireless link is first inferred based on the measured RF signal strength and packet drops. Then optimal power assignment is done by fitting those measurement results into a model describing the relationship between the assigned power and the resulting signal strength. A closed loop power control mechanism is then added for iterative convergence to the optimal power level as a response to both intra-and-inter posture body movements. This provides a practical paradigm for on-body power assignment, which cannot leverage the existing mechanisms in the literature that rely on localization, which is not realistic for on-body sensors. Extensive experimental results are provided to demonstrate the model building and algorithm performance on a prototype body area network. The proposed mechanism has also been compared with a number of other closed loop mechanisms and an experimental benchmark.