Bagula AB, Osunmakinde I, Zennaro M. On the relevance of using Bayesian belief networks in wireless sensor networks situation recognition.
Sensors (Basel) 2010;
10:11001-20. [PMID:
22163509 PMCID:
PMC3231068 DOI:
10.3390/s101211001]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2010] [Revised: 11/01/2010] [Accepted: 11/22/2010] [Indexed: 11/19/2022]
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.
Collapse