Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/99176
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dc.titleAn analysis of selective tuning schemes for nonuniform broadcast
dc.contributor.authorYu, J.X.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2014-10-27T06:01:25Z
dc.date.available2014-10-27T06:01:25Z
dc.date.issued1997-05
dc.identifier.citationYu, J.X.,Tan, K.-L. (1997-05). An analysis of selective tuning schemes for nonuniform broadcast. Data and Knowledge Engineering 22 (3) : 319-344. ScholarBank@NUS Repository.
dc.identifier.issn0169023X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/99176
dc.description.abstractBroadcasting is an effective means of disseminating information in a wireless environment to a large number of clients with powerful palmtops. However, it requires the clients to be actively listening to the communication channels for the desired information. Because of the high power consumption of the active mode, it is crucial for the battery-operated palmtops to conserve their energy in order to extend their effective battery life. This calls for selective tuning mechanisms that allow the clients to operate in the less energy-consuming doze mode, and to operate only in active mode when the desirable portion of the information is broadcast. Most of the existing work focuses on uniform broadcast. In practice, only a small amount of information is highly in demand by a large number of clients while the remainder is less popular. This nonuniform access pattern poses several new issues. In this paper, we examine these issues and look at how a nonuniform broadcast can be organized for selective tuning by the clients. We describe several indexing schemes to facilitate selective tuning which are variations of existing techniques on uniform broadcast. We analyze the performance of the schemes based on the average tuning time and average access time.
dc.sourceScopus
dc.subjectAccess time
dc.subjectNonuniform broadcast
dc.subjectSelective tuning
dc.subjectTuning time
dc.subjectWireless network
dc.typeArticle
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.sourcetitleData and Knowledge Engineering
dc.description.volume22
dc.description.issue3
dc.description.page319-344
dc.description.codenDKENE
dc.identifier.isiutNOT_IN_WOS
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