Securing Medical Sensor Environments: The CodeBlue Framework Case
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Bigtable: A Distributed Storage System for Structured Data
ACM Transactions on Computer Systems (TOCS)
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
MEDiSN: Medical emergency detection in sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
System architecture of a wireless body area sensor network for ubiquitous health monitoring
Journal of Mobile Multimedia
Mobility prediction-based smartphone energy optimization for everyday location monitoring
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
DTN: an architectural retrospective
IEEE Journal on Selected Areas in Communications
Context-aware wireless sensor networks for assisted living and residential monitoring
IEEE Network: The Magazine of Global Internetworking
Towards an architecture for mobile healthcare
LCN '12 Proceedings of the 2012 IEEE 37th Conference on Local Computer Networks (LCN 2012)
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Tetherless care was proposed to help address the costly burden of chronic conditions and diseases like diabetes, hypertension, and heart disease. In support of this vision, this work presents a solution for the intelligent delivery of realtime messages given intermittent connectivity and limited energy. It employs a O(1) Markov predictor operating over a history of network sessions to predict likely future low power opportunities to transfer data while attending to realtime delivery deadlines. The algorithm was deployed to the smartphones of several volunteers for two months and was tasked with managing the transfer of test data and statistics of its operation. Results show: • Predictions of the duration or start time of a given session have 80% accuracy to within six minutes. • Where delays between successive WiFi sessions are less than nine minutes with 81% probability, the system is capable of supporting deadlines on the order of minutes with WiFi-based sessions only, falling back on more costly cellular technology to cover the final 19% of delays. • With a fixed 24 hour deadline for all messages, the solution can often introduce further delay to conserve energy, waiting for the advent of some future session before initiating transmission.