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Author Ermis, E.B. ♦ Venkatesh Saligrama
Sponsorship IEEE Electron Devices Soc. - Boise Chapter ♦ Electrochemistry Soc. ECS ♦ IEEE Boise Sect. ♦ IEEE EDS Region 6 / SRC ♦ Micron Found
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Context ♦ Wireless sensor networks ♦ Event detection ♦ Measurement standards ♦ Collaboration ♦ Sensor phenomena and characterization ♦ Sampling methods ♦ Cost function ♦ Sensor systems ♦ Monitoring
Abstract Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distributed events, sources, or abnormalities that are localized, i.e., only a small number of sensors in the vicinity of the phenomena are in the field of observation. This problem complements the standard decentralized detection problem, where noisy information about an event is measured by the entire network. For localized phenomena the main difficulty arises from the coupling of: a) noisy sensor observations that lead to local false positives/negatives; and b) limited energy, which constrains communication among sensor nodes. Together these difficulties call for reaching a decentralized statistical ordering based on limited collaboration. We are then led to the following fundamental problem: determine the most probable event locations while minimizing communication cost. Our objective in this paper is to characterize the fundamental trade offs between global performance (false alarms and miss rate) and communication cost. We develop a framework to minimize the communication cost subject to worst-case misclassification constraints by making use of the false discovery rate (FDR) concept along with an optimal local measure transformation at each sensor node. The preliminary results show that the FDR concept applied in a sensor networks context leads to significant reduction in the communication cost of the system. A very interesting implication of this work is that the detection performance of a wireless sensor network is comparable to that of a wired network of sensors.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA (Ermis, E.B.; Venkatesh Saligrama)
ISBN 0780392019
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-04-15
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 656.71 kB
Page Count 8
Starting Page 143
Ending Page 150

Source: IEEE Xplore Digital Library