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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abdelaal, M. Kuka, C. Theel, O. Nicklas, D. |
| Copyright Year | 2015 |
| Description | Author affiliation: Univ. of Bamberg, Bamberg, Germany (Nicklas, D.) || Carl von Ossietzky Univ. of Oldenburg, Oldenburg, Germany (Abdelaal, M.; Kuka, C.; Theel, O.) |
| Abstract | Several “energy-hungry” sensors such as gas detectors, radar, and cameras have excessive energy dissipation. Virtual sensing is a technique which “breaks the downward spiral” between energy expenditure and events-miss probabilities. The idea is to deactivate main sensors and utilize a set of energy-friendly HW & SW components instead. However, reliability of such systems composed of virtual and real sensors should be as high as possible. In this article, a novel approach is proposed to improve the virtual sensing reliability. An ontology on sensor-environment relationships is utilized to automatically generate rules before deployment to switch between real and virtual sensors. We illustrate the general approach by a case study: we show how reliable virtual sensing reduces the energy consumption and event-miss probabilities of object tracking applications. Seismic sensors and a dynamic time-warping algorithm shape the virtual object tracking sensor. We validate the precision of such virtual sensors over several experiments. A series of experiments with a network of TelosB sensor nodes show that virtual sensors have much less energy consumption than a Doppler μ-radar (main) sensor. Finally, we evaluate event-miss probabilities and lifetime extension by using the WSNet simulator. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 262507 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479980550 |
| DOI | 10.1109/ISSNIP.2015.7106926 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-07 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Ontology Ontologies Vibration measurement Wireless Sensor Networks Energy Efficiency Temperature measurement Seismic measurements Virtual Sensing Object Tracking Dynamic Time Warping Sensors Reliability |
| Content Type | Text |
| Resource Type | Article |
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