Drift Aware Wireless Sensor Networks

Takruri, MS; Challa, S

Drift Aware Wireless Sensor Networks

Takruri, MS Challa, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Information Fusion 2007, The 10th International Conference on Information Fusion (Fusion 2007), 2007, pp. 1 - 7
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Takruri, MS	en_US
dc.contributor.author	Challa, S	en_US
dc.contributor.editor	N/A	en_US
dc.date	2007-07-09	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Information Fusion 2007, The 10th International Conference on Information Fusion (Fusion 2007), 2007, pp. 1 - 7	en_US
dc.identifier.isbn	9780662458043	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2949
dc.description.abstract	The focus of wireless sensor networks is to develop low cost sensors with sufficient computing and communication capabilities to support networked sensing applications. The emphasis on lower cost led to sensors that are less accurate and less reliable than their wired sensor counterparts. Sensors usually suffer from both random and systematic (bias) problems. Even when the sensors are properly calibrated at the time of their deployment, they develop drift in their readings leading to biased sensor measurements. The drift in this context is defined as a unidirectional long-term change in the sensor measurement. Assuming that neighboring sensors have correlated measurements and noting that the instantiation of drift in a sensor is uncorrelated with other sensors and inspired by the resemblance of registration problem in radar target tracking with the bias error problem in sensor networks we devise a novel algorithm for detecting and correcting sensors drifts and show how it improves the reliability and the effective life of the network.	en_US
dc.publisher	IEEE	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP0561200R1
dc.relation.ispartof	Information Fusion 2007, The 10th International Conference on Information Fusion (Fusion 2007)	en_US
dc.relation.ispartof	International Conference on Information Fusion	en_US
dc.relation.isbasedon	10.1109/ICIF.2007.4408091	en_US
dc.rights	© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Drift Aware Wireless Sensor Networks	en_US
dc.type	Conference Proceeding
utslib.location	USA	en_US
utslib.location.activity	Quebec City, Canada	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
dc.location.activity	Quebec City, Canada	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	USA	en_US
pubs.start-date	2007-07-09	en_US

Abstract:

The focus of wireless sensor networks is to develop low cost sensors with sufficient computing and communication capabilities to support networked sensing applications. The emphasis on lower cost led to sensors that are less accurate and less reliable than their wired sensor counterparts. Sensors usually suffer from both random and systematic (bias) problems. Even when the sensors are properly calibrated at the time of their deployment, they develop drift in their readings leading to biased sensor measurements. The drift in this context is defined as a unidirectional long-term change in the sensor measurement. Assuming that neighboring sensors have correlated measurements and noting that the instantiation of drift in a sensor is uncorrelated with other sensors and inspired by the resemblance of registration problem in radar target tracking with the bias error problem in sensor networks we devise a novel algorithm for detecting and correcting sensors drifts and show how it improves the reliability and the effective life of the network.

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http://hdl.handle.net/10453/2949