Data aggregation in wireless sensor networks with minimum delay and minimum use of energy: A comparative study

Hdl Handle:
http://hdl.handle.net/10034/337485
Title:
Data aggregation in wireless sensor networks with minimum delay and minimum use of energy: A comparative study
Authors:
Qayyum, Bushra; Saeed, Mohammed; Roberts, Jason A.
Abstract:
The prime objective of deploying large- scale wireless sensor networks is to collect information from to control systems associated with these networks. Wireless sensor networks are widely used in application domains such as security and inspection, environmental monitoring, warfare, and other situations especially where immediate responses are required such as disasters and medical emergency. Whenever there is a growth there are challenges and to cope with these challenges strategies and solutions must be developed. This paper discusses the recently addressed issues of data aggregation through presenting a comparative study of different research work done on minimizing delay in different structures of wireless sensor networks. Finally we introduce our proposed method to minimize both delay and power consumption using a tree based clustering scheme with partial data aggregation.
Affiliation:
University of Chester ; Al Khawarizmi University College ; University of Chester
Citation:
Proceedings of the BCS International IT Conference 2014, Abu Dhabi, United Arab Emirates, 9 - 10 March 2014
Publisher:
British Computer Society
Journal:
Electronic Workshops in Computing (eWiC) BCS International IT Conference papers
Publication Date:
2015
URI:
http://hdl.handle.net/10034/337485
DOI:
10.14236/ewic/bcsme2014.2
Additional Links:
http://ewic.bcs.org; http://ewic.bcs.org/content/ConWebDoc/54264
Type:
Article; Meetings and Proceedings
Language:
en
Description:
Electronic Workshops in Computing (eWiC), 2015. First published in the Electronic Workshops in Computing series at http://dx.doi.org/10.14236/ewic/bcsme2014.2
ISSN:
1477-9358
Appears in Collections:
Mathematics; Computer Science

Full metadata record

DC FieldValue Language
dc.contributor.authorQayyum, Bushraen
dc.contributor.authorSaeed, Mohammeden
dc.contributor.authorRoberts, Jason A.en
dc.date.accessioned2014-12-22T12:46:34Zen
dc.date.available2014-12-22T12:46:34Zen
dc.date.issued2015en
dc.identifier.citationProceedings of the BCS International IT Conference 2014, Abu Dhabi, United Arab Emirates, 9 - 10 March 2014en
dc.identifier.issn1477-9358en
dc.identifier.doi10.14236/ewic/bcsme2014.2en
dc.identifier.urihttp://hdl.handle.net/10034/337485en
dc.descriptionElectronic Workshops in Computing (eWiC), 2015. First published in the Electronic Workshops in Computing series at http://dx.doi.org/10.14236/ewic/bcsme2014.2en
dc.description.abstractThe prime objective of deploying large- scale wireless sensor networks is to collect information from to control systems associated with these networks. Wireless sensor networks are widely used in application domains such as security and inspection, environmental monitoring, warfare, and other situations especially where immediate responses are required such as disasters and medical emergency. Whenever there is a growth there are challenges and to cope with these challenges strategies and solutions must be developed. This paper discusses the recently addressed issues of data aggregation through presenting a comparative study of different research work done on minimizing delay in different structures of wireless sensor networks. Finally we introduce our proposed method to minimize both delay and power consumption using a tree based clustering scheme with partial data aggregation.en
dc.language.isoenen
dc.publisherBritish Computer Societyen
dc.relation.urlhttp://ewic.bcs.orgen
dc.relation.urlhttp://ewic.bcs.org/content/ConWebDoc/54264en
dc.subjectwireless sensor networksen
dc.subjectdelayen
dc.subjectdata aggregationen
dc.subjectenergy consumptionen
dc.titleData aggregation in wireless sensor networks with minimum delay and minimum use of energy: A comparative studyen
dc.typeArticleen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Chester ; Al Khawarizmi University College ; University of Chesteren
dc.identifier.journalElectronic Workshops in Computing (eWiC) BCS International IT Conference papersen
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