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Conference Paper: A bio-inspired object tracking algorithm for minimising power consumption

TitleA bio-inspired object tracking algorithm for minimising power consumption
Authors
KeywordsBio-inspired
Conserve energy
Container terminal
Control framework
Distributed information processing
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800112
Citation
The 2010 International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 355-360 How to Cite?
AbstractThis electronic document is a 'live' template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. A wireless sensor network (WSN) is a distributed information processing system with the capabilities of sensing, wireless communication and data processing. Individual sensor modules of such a network sense the environment, perform data processing locally and cooperate with other sensors via communication. One very important issue in the deployment of a wireless sensor network is the problem of optimizing energy consumption as these networks may be deployed in places where energy supply are not readily available such as in a seaport container terminal and they are required to work with a long lifespan. The main objective of our research is to develop an algorithm for controlling the power consumption of sensor modules in a wireless sensor network for mobile object tracking. The algorithm determines the actions of an individual sensor module to enter a low power state to conserve energy while maintaining its functionality to track objects and to optimize the lifespan of the entire sensor network by reducing overall power consumption. A control framework and corresponding algorithms for controlling the actions of a sensor is designed and experimentation is done to show its efficiency in controlling power consumption of a sensor network. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/126235
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorLai, WCen_HK
dc.contributor.authorLau, HYKen_HK
dc.date.accessioned2010-10-31T12:17:12Z-
dc.date.available2010-10-31T12:17:12Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 2010 International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 355-360en_HK
dc.identifier.isbn978-1-4244-6878-2-
dc.identifier.urihttp://hdl.handle.net/10722/126235-
dc.description.abstractThis electronic document is a 'live' template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. A wireless sensor network (WSN) is a distributed information processing system with the capabilities of sensing, wireless communication and data processing. Individual sensor modules of such a network sense the environment, perform data processing locally and cooperate with other sensors via communication. One very important issue in the deployment of a wireless sensor network is the problem of optimizing energy consumption as these networks may be deployed in places where energy supply are not readily available such as in a seaport container terminal and they are required to work with a long lifespan. The main objective of our research is to develop an algorithm for controlling the power consumption of sensor modules in a wireless sensor network for mobile object tracking. The algorithm determines the actions of an individual sensor module to enter a low power state to conserve energy while maintaining its functionality to track objects and to optimize the lifespan of the entire sensor network by reducing overall power consumption. A control framework and corresponding algorithms for controlling the actions of a sensor is designed and experimentation is done to show its efficiency in controlling power consumption of a sensor network. © 2010 IEEE.-
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800112-
dc.relation.ispartofProceedings of the International Conference on Green Circuits and Systems, ICGCS 2010en_HK
dc.rightsProceedings of the International Conference on Green Circuits and Systems. Copyright © IEEE.-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectBio-inspired-
dc.subjectConserve energy-
dc.subjectContainer terminal-
dc.subjectControl framework-
dc.subjectDistributed information processing-
dc.titleA bio-inspired object tracking algorithm for minimising power consumptionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLau, HYK: hyklau@hku.hken_HK
dc.identifier.authorityLau, HYK=rp00137en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICGCS.2010.5543040-
dc.identifier.scopuseid_2-s2.0-77956575580-
dc.identifier.hkuros180473en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956575580&selection=ref&src=s&origin=recordpage-
dc.identifier.spage355en_HK
dc.identifier.epage360en_HK
dc.publisher.placeUnited States-
dc.description.otherThe 2010 International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 355-360-
dc.identifier.scopusauthoridLai, WC=36473244400-
dc.identifier.scopusauthoridLau, HYK=7201497761-

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