Research Article
Ontology-driven adaptive sensor networks
@INPROCEEDINGS{10.1109/MOBIQ.2004.1331726, author={S. Avancha and C. Patel and A. Joshi}, title={Ontology-driven adaptive sensor networks}, proceedings={1st International ICST Conference on Mobile and Ubiquitous Systems}, publisher={IEEE}, proceedings_a={MOBIQUITOUS}, year={2004}, month={9}, keywords={}, doi={10.1109/MOBIQ.2004.1331726} }- S. Avancha
C. Patel
A. Joshi
Year: 2004
Ontology-driven adaptive sensor networks
MOBIQUITOUS
IEEE
DOI: 10.1109/MOBIQ.2004.1331726
Abstract
A wireless sensor network deployed in an area of interest is affected by variations in environmental conditions associated with that area. It must adapt to these variations in order to continue functioning as desired by the user. We present a novel, two-phase solution to the wireless sensor network adaptivity problem. In the first phase, nodes in the network, organized as clusters, execute an efficient algorithm to dynamically calibrate sensed data. Each node provides its current energy level and the state of each on-board sensor to a cluster-head. In the second phase, each cluster-head executes an efficient, ontology-driven algorithm to determine the future state of the network under existing conditions, based on information received from each sensor node. We describe an example application scenario to show how our two-phase solution can be employed to enable a real-world wireless sensor network to adapt itself to variations in environmental conditions.
