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Article: Improving data centric storage with diffuse caching in wireless sensor networks

TitleImproving data centric storage with diffuse caching in wireless sensor networks
Authors
KeywordsData-Centric Storage
Diffuse Caching
Wireless Sensor Networks
Issue Date2009
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/76507157
Citation
Wireless Communications And Mobile Computing, 2009, v. 9 n. 3, p. 347-356 How to Cite?
AbstractIn a sensor network that adopts data-centric storage (DCS), information of the same kind is kept in the same set of nodes. That is, when a sensor detects a certain event, no matter where it is, it sends the information to the designated location. When another node wants the information, it can send a query to that location to retrieve it. Unfortunately, existing protocols based on DCS are prone to the hot-spot problem where some nodes have to handle lots of messages. In this paper, we study how to apply diffuse caching on top of DCS. We diffuse popular information to other nodes so as to share the workloads. Our diffusing mechanism is adaptive that the distribution varies based on the popularity of the event type. We evaluate our protocol using simulations and the results show that our protocol successfully alleviates the hot-spot problem and reduces the message overheads. Copyright © 2008 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/155512
ISSN
2015 Impact Factor: 0.922
2015 SCImago Journal Rankings: 0.421
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMa, KTen_US
dc.contributor.authorCheng, KYen_US
dc.contributor.authorLui, KSen_US
dc.contributor.authorTam, Ven_US
dc.date.accessioned2012-08-08T08:33:52Z-
dc.date.available2012-08-08T08:33:52Z-
dc.date.issued2009en_US
dc.identifier.citationWireless Communications And Mobile Computing, 2009, v. 9 n. 3, p. 347-356en_US
dc.identifier.issn1530-8669en_US
dc.identifier.urihttp://hdl.handle.net/10722/155512-
dc.description.abstractIn a sensor network that adopts data-centric storage (DCS), information of the same kind is kept in the same set of nodes. That is, when a sensor detects a certain event, no matter where it is, it sends the information to the designated location. When another node wants the information, it can send a query to that location to retrieve it. Unfortunately, existing protocols based on DCS are prone to the hot-spot problem where some nodes have to handle lots of messages. In this paper, we study how to apply diffuse caching on top of DCS. We diffuse popular information to other nodes so as to share the workloads. Our diffusing mechanism is adaptive that the distribution varies based on the popularity of the event type. We evaluate our protocol using simulations and the results show that our protocol successfully alleviates the hot-spot problem and reduces the message overheads. Copyright © 2008 John Wiley & Sons, Ltd.en_US
dc.languageengen_US
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/76507157en_US
dc.relation.ispartofWireless Communications and Mobile Computingen_US
dc.subjectData-Centric Storageen_US
dc.subjectDiffuse Cachingen_US
dc.subjectWireless Sensor Networksen_US
dc.titleImproving data centric storage with diffuse caching in wireless sensor networksen_US
dc.typeArticleen_US
dc.identifier.emailLui, KS:kslui@eee.hku.hken_US
dc.identifier.emailTam, V:vtam@eee.hku.hken_US
dc.identifier.authorityLui, KS=rp00188en_US
dc.identifier.authorityTam, V=rp00173en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1002/wcm.614en_US
dc.identifier.scopuseid_2-s2.0-63049086289en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-63049086289&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume9en_US
dc.identifier.issue3en_US
dc.identifier.spage347en_US
dc.identifier.epage356en_US
dc.identifier.isiWOS:000263848600007-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridMa, KT=23009191800en_US
dc.identifier.scopusauthoridCheng, KY=14631590500en_US
dc.identifier.scopusauthoridLui, KS=7103390016en_US
dc.identifier.scopusauthoridTam, V=7005091988en_US

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