Distributed Recursive Algorithm for Auto Calibration in Drift Aware Wireless Sensor Networks

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dc.contributor.author Takruri, MS
dc.contributor.author Aboura, K
dc.contributor.author Challa, S
dc.contributor.editor Khaled Elleithy
dc.date.accessioned 2010-05-28T09:59:22Z
dc.date.issued 2008-01
dc.identifier.citation Proceedings of the 2007 International Conference on Systems,Computing Sciences and Software Engineering (SCSS)., 2008, pp. 21 - 25
dc.identifier.isbn 978-1-4020-8734-9
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/10763
dc.description.abstract The purpose for wireless sensor networks is to deploy 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. We assume that neighboring sensors have correlated measurements and that the instantiation of drift in a sensor is uncorrelated with other sensors. As an extension of our results in [1], and inspired by the resemblance of registration problem in radar target tracking, we propose a distributed recursive Bayesian algorithm for auto calibration of wireless sensors in the presence of slowly varying drifts. The algorithm detects and corrects sensor drifts and improves the reliability and the effective life of the network.
dc.publisher Springer Netherlands
dc.relation.isbasedon 10.1007/978-1-4020-8735-6_5
dc.subject NA
dc.subject NA
dc.title Distributed Recursive Algorithm for Auto Calibration in Drift Aware Wireless Sensor Networks
dc.type Conference Proceeding
dc.parent Proceedings of the 2007 International Conference on Systems,Computing Sciences and Software Engineering (SCSS).
dc.journal.number en_US
dc.publocation Netherlands en_US
dc.publocation Netherlands
dc.identifier.startpage 21 en_US
dc.identifier.endpage 25 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference International Conference on Systems, Computing Sciences and Software Engineering
dc.for 080309 Software Engineering
dc.personcode 101194 en_US
dc.personcode 997719 en_US
dc.personcode 040218 en_US
dc.percentage 100 en_US
dc.classification.name Software Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Systems, Computing Sciences and Software Engineering en_US
dc.date.activity 20080601 en_US
dc.date.activity 2008-06-01
dc.location.activity Connecticut, USA en_US
dc.location.activity Connecticut, USA
dc.description.keywords NA en_US
dc.description.keywords NA
dc.staffid en_US
dc.staffid 040218 en_US
pubs.embargo.period Not known
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 Elec, Mech and Mechatronic Systems


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