Premium
Distributed diagnosis over wireless sensors networks
Author(s) -
Dessart Nathalie,
Fouchal Hacène,
Hunel Philippe
Publication year - 2010
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1583
Subject(s) - wireless sensor network , computer science , anomaly detection , alarm , context (archaeology) , wireless , real time computing , focus (optics) , simple (philosophy) , computation , base station , distributed computing , computer network , data mining , engineering , telecommunications , algorithm , philosophy , physics , optics , epistemology , biology , aerospace engineering , paleontology
This paper studies how to detect anomalies in a distributed manner by using wireless sensor networks (WSNs). We focus on a medical context, where the existing works generally provide large environments to monitor patients using sensors as simple transducers. Those devices forward sensed health parameters to a main base station. This station collects received data and may perform some computations. In this paper, we perform some distributed tasks on the sensors. We propose a distributed algorithm, which allows to raise alarms under some initial rules to alert efficiently medical staff in case of critical situations without needless warnings. Each mote monitors a parameter. When this parameter reaches an abnormal value, the mote communicates with other motes in order to check if it is a ‘local’ anomaly or if the patient is in an abnormal situation. In such cases an alarm is raised. We implemented our algorithm over a network of micaZ sensors running under TinyOS. The obtained results show promising perspectives. Copyright © 2010 John Wiley & Sons, Ltd.