Avancha, SasikanthPatel, ChintanJoshi, Anupam2018-12-132018-12-132004-08-22Sasikanth Avancha, Chintan Patel, and Anupam Joshi, Ontology-driven Adaptive Sensor Networks, MobiQuitous 2004, DOI: 10.1109/MOBIQ.2004.133172610.1109/MOBIQ.2004.1331726http://hdl.handle.net/11603/12249MobiQuitous 2004A wireless sensor network deployed in an area of interest 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.9 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.© 2004 IEEEontologyadaptive sensor networksenvironmental conditionswireless LANmicrosensorsad hoc networksUMBC Ebiquity Research GroupText