Stochastic Coverage in Event-Driven Sensor Networks

She, HuiminKTH,Elektroniksystem,VinnExcellence Center for Intelligence in Paper and Packaging, iPACK (author)

QC 20120123
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 are a 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.

Lu, ZhonghaiKTH,Elektroniksystem,VinnExcellence Center for Intelligence in Paper and Packaging, iPACK(Swepub:kth)u1wqy6h0 (author)
Jantsch, AxelKTH,Elektroniksystem,VinnExcellence Center for Intelligence in Paper and Packaging, iPACK(Swepub:kth)u18wycaf (author)
Zhou, Dian (author)
Zheng, LirongKTH,Elektroniksystem,VinnExcellence Center for Intelligence in Paper and Packaging, iPACK(Swepub:kth)u1q4gmpy (author)
KTHElektroniksystem (creator_code:org_t)

In:2011 IEEE 22nd International Symposium On Personal Indoor And Mobile Radio Communications (PIMRC)New York : IEEE, s. 915-9199781457713484

By the author/editor: She, Huimin; Lu, Zhonghai; Jantsch, Axel; Zhou, Dian; Zheng, Lirong

About the subject

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