BINOCULAR

A system monitoring framework

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

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

9 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 and multiple queries can be answered more efficiently. Since a small set of sensors are accessed for query processing, communication is significantly reduced. Furthermore, the proposed technique can also be beneficial at filtering out the noise which directly affects the accuracy of query results.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Pages5-9
Number of pages5
Volume72
DOIs
Publication statusPublished - 1 Dec 2004
Externally publishedYes
Event1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004 - Toronto, ON, Canada
Duration: 30 Aug 200430 Aug 2004

Other

Other1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004
CountryCanada
CityToronto, ON
Period30/8/0430/8/04

Fingerprint

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

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Emekci, F., Tuna, S. E., Agrawal, D., & Abbadi, A. E. (2004). BINOCULAR: A system monitoring framework. In ACM International Conference Proceeding Series (Vol. 72, pp. 5-9) https://doi.org/10.1145/1052199.1052201

BINOCULAR : A system monitoring framework. / Emekci, Fatih; Tuna, Sezai E.; Agrawal, Divyakant; Abbadi, Amr El.

ACM International Conference Proceeding Series. Vol. 72 2004. p. 5-9.

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

Emekci, F, Tuna, SE, Agrawal, D & Abbadi, AE 2004, BINOCULAR: A system monitoring framework. in ACM International Conference Proceeding Series. vol. 72, pp. 5-9, 1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004, Toronto, ON, Canada, 30/8/04. https://doi.org/10.1145/1052199.1052201
Emekci F, Tuna SE, Agrawal D, Abbadi AE. BINOCULAR: A system monitoring framework. In ACM International Conference Proceeding Series. Vol. 72. 2004. p. 5-9 https://doi.org/10.1145/1052199.1052201
Emekci, Fatih ; Tuna, Sezai E. ; Agrawal, Divyakant ; Abbadi, Amr El. / BINOCULAR : A system monitoring framework. ACM International Conference Proceeding Series. Vol. 72 2004. pp. 5-9
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