caa a22 4500 445332026 CHVBK 20180317142740.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s10707-009-0097-0 doi (NATIONALLICENCE)springer-10.1007/s10707-009-0097-0 Qualitative change detection using sensor networks based on connectivity information [Elektronische Daten] [Jixiang Jiang, Michael Worboys, Silvia Nittel] The research reported in this paper uses wireless sensor networks to provide salient information about spatially distributed dynamic fields, such as regional variations in temperature or concentration of a toxic gas. The focus is on deriving qualitative descriptions of salient changes to areas of high-activity that occur during the temporal evolution of the field. The changes reported include region merging or splitting, and hole formation or elimination. Such changes are formally characterized, and a distributed qualitative change reporting (QCR) approach is developed that detects the qualitative changes simply based on the connectivity between the sensor nodes without location information. The efficiency of the QCR approach is investigated using simulation experiments. The results show that the communication cost of the QCR approach in monitoring large-scale phenomena is an order of magnitude lower than that using the standard boundary-based data collection approach, where each node is assumed to have its location information. Springer Science+Business Media, LLC, 2009 Sensor network nationallicence Topology nationallicence Qualitative changes nationallicence Spatio-temporal data nationallicence Jiang Jixiang Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut Worboys Michael Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut Nittel Silvia Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut GeoInformatica Springer US; http://www.springer-ny.com 15/2(2011-04-01), 305-328 1384-6175 15:2<305 2011 15 10707 https://doi.org/10.1007/s10707-009-0097-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-009-0097-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jiang Jixiang Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut NATIONALLICENCE 700 1- Worboys Michael Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut NATIONALLICENCE 700 1- Nittel Silvia Department of Spatial Information Science and Engineering, University of Maine, 04468, Orono, ME, USA aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/2(2011-04-01), 305-328 1384-6175 15:2<305 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer