Policy-based management of body-sensor networks

Keoh, S.L. et al. (2007) Policy-based management of body-sensor networks. In: 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007), Aachen, Germany, 26-28 March 2007, pp. 92-98.

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Publisher's URL: http://www.dcs.gla.ac.uk/publications/PAPERS//8369/bsn-camera-v4.pdf


Body sensor networks e.g., for health monitoring, consist of several low-power on-body wireless sensors, higher-level devices such as PDAs and possibly actuators such as drug delivery pumps. It is important that such networks can adapt autonomously to changing conditions such as failures, changes in context e.g., user activity, or changes in the clinical condition of patients. Potential reconfiguration actions include changing the monitoring thresholds on sensors, the analysis algorithms or the configuration of the network itself. This paper presents a policy-based approach for autonomous management of body-sensor networks using the concept of a SelfManaged Cell (SMC). Ponder2 is an implementation of this approach that permits the specification and enforcement of policies that facilitate management and adaptation of the response to changing conditions. A Tiny Policy Interpreter has also been developed in order to provide programmable decision-making capability for BSN nodes.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Keoh, Dr Sye Loong and Sventek, Professor Joseph
Authors: Keoh, S.L., Twidle, K., Pryce, N., Schaeffer-Filho, A.E., Lupu, E., Dulay, N., Sloman, M., Heeps, S., Strowes, S., Sventek, J., and Katsiri, E.
College/School:College of Science and Engineering > School of Computing Science

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
360401AMUSE - Autonomic Management of Ubiquitous Systems for E-HealthJoseph SventekEngineering & Physical Sciences Research Council (EPSRC)GR/S68040/01School of Computing Science