A tight analysis of the greedy algorithm for set cover
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A dual-space approach to tracking and sensor management in wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Lucid dreaming: reliable analog event detection for energy-constrained applications
Proceedings of the 6th international conference on Information processing in sensor networks
Critical-Path based Low-Energy Scheduling Algorithms for Body Area Network Systems
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Proceedings of the 5th international conference on Embedded networked sensor systems
Catching elephants with mice: sparse sampling for monitoring sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
MEDIC: Medical embedded device for individualized care
Artificial Intelligence in Medicine
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
A Wireless Sensor Network for Real-Time Indoor Localisation and Motion Monitoring
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Energy comparison and optimization of wireless body-area network technologies
Proceedings of the ICST 2nd international conference on Body area networks
The SmartCane system: an assistive device for geriatrics
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Event-triggered distributed optimization in sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Mercury: a wearable sensor network platform for high-fidelity motion analysis
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Measuring foot pronation using RFID sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
A human probe for measuring walkability
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Transmission power control in body area sensor networks for healthcare monitoring
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
Energy efficient E-textile based portable keyboard
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Semantics-driven sensor configuration for energy reduction in medical sensor networks
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Power constrained sensor sample selection for improved form factor and lifetime in localized BANs
Proceedings of the conference on Wireless Health
Optimization intensive energy harvesting
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Wearable sensing systems are becoming widely used for a variety of applications, including sports, entertainment, and military. These systems have recently enabled a variety of medical monitoring and diagnostic applications in Wireless Health. The need for multiple sensors and constant monitoring lead these systems to be power hungry and expensive, with short operating lifetimes. In this paper, we introduce a novel methodology that takes advantage of the influence of human behavior on signal properties and reduces those three metrics from the data size point of view. This, in turn, directly influences the wireless communication and local processing power consumption. We exploit intrinsic space and temporal correlations between sensor data while considering both user and system behavior. Our goal is to select a small subset of sensors to accurately capture and/or predict all possible signals of a fully instrumented wearable sensing system. Our approach leverages novel modeling, partitioning, and behavioral optimization, which consists of signal characterization, segmentation and time shifting, mutual signal prediction, and subset sensor selection. We demonstrate the effectiveness of the technique on an insole instrumented with 99 pressure sensors placed in each shoe, which cover the bottom of the entire foot, resulting in energy reduction of 56% to 96% for error rates of 5% to 17.5%.