An evaluation of multi-resolution storage for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Application-specific compression for time delay estimation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Adaptive lossless compression in wireless body sensor networks
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Stream-oriented lossless packet compression in wireless sensor networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
IEEE Journal on Selected Areas in Communications
Behavioural reconfigurable and adaptive data reduction in body sensor networks
International Journal of Autonomous and Adaptive Communications Systems
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Body area sensor networks have been attracting more and more applications which focus on human behavior and monitoring, ranging from simple positioning to medical applications. These BSNs inherit unique specifications since are composed of light-weight embedded systems. In this paper, we focus on energy and lifetime requirements of these systems which is one of the most challenging design constraints. We study this problem from the angle of data compression which is known to be very efficient in energy reduction specially when large amount of data is to be transmitted wirelessly. We introduce the notion of functional compression which utilizes classes of data patterns to efficiently represent information through regenerative functions. Furthermore, we propose a reconfigurable compression methods which dynamically uses different compression methods to optimize compression ratio and energy savings.