DocumentCode :
3169065
Title :
Stochastic coverage in event-driven sensor networks
Author :
She, Huimin ; Lu, Zhonghai ; Jantsch, Axel ; Zhou, Dian ; Zheng, Li-Rong
Author_Institution :
iPack VINN Excellence Center, R. Inst. of Technol. (KTH), Stockholm, Sweden
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
915
Lastpage :
919
Abstract :
One of the primary tasks of sensor networks is to detect events in a field of interest (FoI). To quantify how well events are detected in such networks, coverage of events is a fundamental problem to be studied. However, traditional studies mostly focus on analyzing the coverage of the FoI, which is usually called area coverage. In this paper, we propose an analytic method to evaluate the performance of event coverage in sensor networks with randomly deployed sensor nodes and stochastic event occurrences. We provide formulas to calculate the probabilities of event coverage and event missing. The numerical results show how these two probabilities change with the sensor and event densities. Moreover, simulations are conducted to validate the analytic method. This method can provide guidelines for determining the amount of sensor nodes to achieve a certain level of coverage in event-driven sensor networks.
Keywords :
probability; stochastic processes; wireless sensor networks; FoI; area coverage; event-driven sensor networks; probabilities; stochastic coverage; Analytical models; Animals; Monitoring; Numerical models; Sensors; Stochastic processes; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on
Conference_Location :
Toronto, ON
ISSN :
pending
Print_ISBN :
978-1-4577-1346-0
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/PIMRC.2011.6140101
Filename :
6140101
Link To Document :
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