DocumentCode :
2564139
Title :
Composite Event Detection in Wireless Sensor Networks
Author :
Vu, Chinh T. ; Beyah, Raheem A. ; Li, Yingshu
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
fYear :
2007
fDate :
11-13 April 2007
Firstpage :
264
Lastpage :
271
Abstract :
Sensor networks can be used for event alarming applications. To date, in most of the proposed schemes, the raw or aggregated sensed data is periodically sent to a data consuming center. However, with this scheme, the occurrence of an emergency event such as a fire is hardly reported in a timely manner which is a strict requirement for event alarming applications. In sensor networks, it is also highly desired to conserve energy so that the network lifetime can be maximized. Furthermore, to ensure the quality of surveillance, some applications require that if an event occurs, it needs to be detected by at least k sensors where k is a user-defined parameter. In this work, we examine the timely energy-efficient k-watching event detection problem (TEKWEO). A topology-and-routing-supported algorithm is proposed which constructs a set of detection sets that satisfy the short notification time, energy conservation, and tunable quality of surveillance requirements for event alarming applications. Simulation results are shown to validate the proposed algorithm.
Keywords :
telecommunication network routing; telecommunication network topology; wireless sensor networks; composite event detection; emergency event; energy conservation; event alarming applications; network lifetime; short notification time; surveillance quality; timely energy-efficient k-watching event detection problem; topology-and-routing-supported algorithm; wireless sensor networks; Application software; Computer science; Energy conservation; Energy efficiency; Event detection; Fires; Monitoring; Surveillance; Temperature sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance, Computing, and Communications Conference, 2007. IPCCC 2007. IEEE Internationa
Conference_Location :
New Orleans, LA
ISSN :
1097-2641
Print_ISBN :
1-4244-1138-6
Electronic_ISBN :
1097-2641
Type :
conf
DOI :
10.1109/PCCC.2007.358903
Filename :
4197939
Link To Document :
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