Title :
Event detection in wireless sensor networks using fuzzy logic system
Author :
Liang, Q. ; Wang, L.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX
fDate :
March 31 2005-April 1 2005
Abstract :
Wireless sensor networks (WSN) are designed to monitor physical phenomena. The main task of WSN is to perform event detection, tracking, and classification. So, compared with traditional ad-hoc networks, WSN is event-centric. Therefore, an important question in WSN is to detect events. In this paper, we present two methods to do event detection, one is double sliding window detection, and the other one is fuzzy logic approach. The accuracy of the results is established via sensor network testbed and simulations
Keywords :
fuzzy logic; wireless sensor networks; double sliding window detection; event classification; event detection; event tracking; fuzzy logic; wireless sensor networks; Acoustic measurements; Acoustic sensors; Computational modeling; Computer networks; Event detection; Fuzzy logic; Intelligent networks; Monitoring; Testing; Wireless sensor networks;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2005. CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9176-4
DOI :
10.1109/CIHSPS.2005.1500610
