Using linear models to monitor the physical world with sensors

Fatih Emekci, Sezai E. Tuna, Divyakant Agrawal, Amr El Abbadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recent advances in hardware technology facilitate applications requiring a large number of sensor devices, where each sensor device has computational, storage, and communication capabilities. However these sensors are subject to certain constraints such as limited power, high communication cost, low computation capability, presence of noise in readings and low bandwidth. Since sensor devices are powered by ordinary batteries, power is a limiting resource in sensor networks and power consumption is dominated by communication. In order to reduce power consumption, we propose to use a linear model of temporal, spatial and spatio-temporal correlations among sensor readings. With this model, readings of all sensors can be estimated using the readings of a few sensors by using linear observers. Since a small set of sensors are accessed for query processing, communication is significantly reduced. Furthermore, sensors are usually deployed over hostile environments where failure of sensors is common. In fact, it is quite possible that readings from unreachable sensors are needed. Therefore, fault tolerant monitoring techniques are needed to estimate the readings of the unreachable sensors. We propose a fault tolerant monitoring system using linear models and linear observers.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
Pages133-142
Number of pages10
Publication statusPublished - 2005
Externally publishedYes
Event17th International Conference Scientific and Statistical Database Management, SSDBM 2005 - Santa Barbara, CA, United States
Duration: 27 Jun 200529 Jun 2005

Other

Other17th International Conference Scientific and Statistical Database Management, SSDBM 2005
CountryUnited States
CitySanta Barbara, CA
Period27/6/0529/6/05

Fingerprint

Sensors
Communication
Electric power utilization
Monitoring
Query processing
Sensor networks
Hardware
Bandwidth
Costs

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Emekci, F., Tuna, S. E., Agrawal, D., & Abbadi, A. E. (2005). Using linear models to monitor the physical world with sensors. In Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM (pp. 133-142)

Using linear models to monitor the physical world with sensors. / Emekci, Fatih; Tuna, Sezai E.; Agrawal, Divyakant; Abbadi, Amr El.

Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM. 2005. p. 133-142.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Emekci, F, Tuna, SE, Agrawal, D & Abbadi, AE 2005, Using linear models to monitor the physical world with sensors. in Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM. pp. 133-142, 17th International Conference Scientific and Statistical Database Management, SSDBM 2005, Santa Barbara, CA, United States, 27/6/05.
Emekci F, Tuna SE, Agrawal D, Abbadi AE. Using linear models to monitor the physical world with sensors. In Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM. 2005. p. 133-142
Emekci, Fatih ; Tuna, Sezai E. ; Agrawal, Divyakant ; Abbadi, Amr El. / Using linear models to monitor the physical world with sensors. Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM. 2005. pp. 133-142
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