RT journal article
T1 Analysis of temporal complex events in sensor networks
A1 Boubeta Puig, Juan
A1 Bravetti, Mario
A1 Llana, Luis
A1 Merayo, Mercedes G.
A2 Ingeniería Informática
K1 Real-time automatic analysis
K1 CEP
K1 fuzzy logic
K1 sensor networks
AB In this paper we introduce a framework for detecting anomalies in the clocks of the different components of a network of sensor stations connected with a central server for measuring of air quality. Local clocks of sensor stations can be advanced/delayed with respect to the central server clock and this situation provokes the inaccuracy in the interpretation of the collected data. We propose a novel approach, supported by a formal representation of the network using fuzzy-timed automata, to precisely represent the expected behaviour of each component of the network. Using fuzzy logic concepts, we can specify admissible mismatches between the clocks. In addition, we apply complex event processing (CEP) technology in order to automatically detect situations of interest while processing the massive amount of data transferred across the network. Specifically, we have designed a collection of CEP patterns that trigger alarms when unexpected differences are observed. We also report the results obtained from the application of our approach to the network during December 2016.
PB Taylor and Francis Ltd.
SN 2475-1847
YR 2017
FD 2017
LK http://hdl.handle.net/10498/34156
UL http://hdl.handle.net/10498/34156
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026