Bagula, A. and Osunmakinde, I. and Zennaro, M. (2010) On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition, Sensors, 10, MDPI.
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Abstract
Achieving situation recognition in ubiquitous sensor networks (USNs) is an important issue that has been poorly addressed by both the research and practitioner communities. This paper describes some steps taken to address this issue by effecting USN middleware intelligence using an emerging situation awareness (ESA) technology. We propose a situation recognition framework where temporal probabilistic reasoning is used to derive and emerge situation awareness in ubiquitous sensor networks. Using data collected from an outdoor environment monitoring in the city of Cape Town, we illustrate the use of the ESA technology in terms of sensor system operating conditions and environmental situation recognition.
| Item Type: | Journal article (online only) |
|---|---|
| Additional Information: | pp.11001-11020, doi:10.3390/s101211001 |
| Uncontrolled Keywords: | wireless sensor networks; energy efficiency; situation awareness; situation recognition; probabilistic model |
| Subjects: | Computer systems organization > Architectures > Distributed architectures |
| Date Deposited: | 22 Feb 2011 |
| Last Modified: | 10 Oct 2019 15:33 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/660 |
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