On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition

Sensors

Antoine B. Bagula¹  Isaac Osunmakinde² 

[1] Department of Computer Science, University of Cape Town, 7707 Cape Town, South Africa;CSIR Modelling & Digital Sciences, Building 17A, Pretoria, South Africa; E-Mail:

关键词: wireless sensor networks;    energy efficiency;    situation awareness;    situation recognition;    probabilistic model;   

DOI  :  10.3390/s101211001

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.