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Conference Paper: Image transmission in sensor networks

TitleImage transmission in sensor networks
Authors
Issue Date2005
PublisherIEEE.
Citation
Ieee Workshop On Signal Processing Systems, Sips: Design And Implementation, 2005, v. 2005, p. 726-730 How to Cite?
AbstractWireless sensor networks allow fine-grained monitoring of the environment. However, as sensors have physical limitations in energy, processing power, and memory, etc., techniques have to be developed to efficiently utilize the limited resource available in a sensor network. In this paper, we study the image tranmission problem in sensor networks. Cameras are installed in various locations of a wide area to take images of targeted objects. These images have to be sent back to a centralized server, which may be very far away from the cameras. Therefore, the images have to traverse the sensors hop by hop to the server. As images usually contain a large amount of data, if they are sent individually, the communication overheads will be huge. To reduce the overheads, we can pre-process the images in the sensors before sending them back to the server, but this pre-processing requires extra energy in the sensors. In this paper, we study how images can be efficiently transmitted through a sensor network. We aim at reducing the energy needed in transmitting the images while maintaining the quality of the combined image. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45882
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLui, KSen_HK
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2007-10-30T06:37:39Z-
dc.date.available2007-10-30T06:37:39Z-
dc.date.issued2005en_HK
dc.identifier.citationIeee Workshop On Signal Processing Systems, Sips: Design And Implementation, 2005, v. 2005, p. 726-730en_HK
dc.identifier.issn1520-6130en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45882-
dc.description.abstractWireless sensor networks allow fine-grained monitoring of the environment. However, as sensors have physical limitations in energy, processing power, and memory, etc., techniques have to be developed to efficiently utilize the limited resource available in a sensor network. In this paper, we study the image tranmission problem in sensor networks. Cameras are installed in various locations of a wide area to take images of targeted objects. These images have to be sent back to a centralized server, which may be very far away from the cameras. Therefore, the images have to traverse the sensors hop by hop to the server. As images usually contain a large amount of data, if they are sent individually, the communication overheads will be huge. To reduce the overheads, we can pre-process the images in the sensors before sending them back to the server, but this pre-processing requires extra energy in the sensors. In this paper, we study how images can be efficiently transmitted through a sensor network. We aim at reducing the energy needed in transmitting the images while maintaining the quality of the combined image. © 2005 IEEE.en_HK
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dc.format.extent4084 bytes-
dc.format.extent4014 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementationen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 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.en_HK
dc.titleImage transmission in sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6130&volume=&spage=726&epage=730&date=2005&atitle=Image+transmission+in+sensor+networksen_HK
dc.identifier.emailLui, KS:kslui@eee.hku.hken_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLui, KS=rp00188en_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/SIPS.2005.1579960en_HK
dc.identifier.scopuseid_2-s2.0-33846209552en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33846209552&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage726en_HK
dc.identifier.epage730en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLui, KS=7103390016en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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