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dc.contributor.authorMadipour, Farhad
dc.contributor.authorRahman, M.F.
dc.contributor.authorMurakami, K.J.
dc.description.abstractEnergy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques for reducing energy consumption of the network and improving its lifetime as well. However, clustering itself is time- and energy-consuming. For this reason, it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We formulate this problem and sketch a guideline on acquiring an optimal number of clusterings.en_NZ
dc.subjectwireless sensor networks (WSN)en_NZ
dc.subjectenergy consumptionen_NZ
dc.subjectnetwork lifetimeen_NZ
dc.titleModeling the impact of clustering on the lifetime of wireless sensor networksen_NZ
dc.typeConference Contribution - Oral Presentationen_NZ
dc.subject.marsden089999 Information and Computing Sciences not elsewhere classifieden_NZ
dc.identifier.bibliographicCitationMehdipour, F., Rahman, M F., & Murakami, K J. (2015, March). Modeling the Impact of Clustering on the Lifetime of Wireless Sensor Networks. Paper presented at The 3rd International Japan-Egypt Conference on Electronics, Communications, Computers (JEC-ECC), Fukuoka, Japan.en_NZ
unitec.publication.title3rd International Japan-Egypt Conference on Electronics, Communications, Computers (JEC-ECC)en_NZ
unitec.conference.title3rd International Japan-Egypt Conference on Electronics, Communications, Computers (JEC-ECC)en_NZ
unitec.conference.locationFukuoka, Japanen_NZ
dc.contributor.affiliationKyushu University (Fukuoka, Japan)en_NZ

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