Adaptive data broadcast strategy for transactions with multiple data requests in mobile computing environments

Joe Chun-Hung Yuen, Edward Chan, Kam-yiu Lam

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Data broadcast in mobile environments has received much attention in recent years and a large number of algorithms have been proposed. However, existing work in the literature only assume a single data item per transaction. In this paper we propose an adaptive data broadcast strategy designed for the case where there may be more than one data item per transaction, for a mobile environment with both push and pull channels. The basic rationale of the strategy is to increase the number of transactions that can be completed by improving the use of the on-demand channel. Extensive simulation shows that the algorithm performs well in a variety of operating environments.
Original languageEnglish
Title of host publicationProceedings -Sixth International Conference on Real-Time Computing Systems and Applications (RTCSA 1999)
PublisherIEEE
Pages37-44
ISBN (Print)0-7695-0306-3
DOIs
Publication statusPublished - Dec 1999
Event6th International Conference on Real-Time Computing Systems and Applications (RTCSA 1999) - Hong Kong, China
Duration: 13 Dec 199915 Dec 1999

Publication series

NameProceedings - 6th International Conference on Real-Time Computing Systems and Applications, RTCSA 1999

Conference

Conference6th International Conference on Real-Time Computing Systems and Applications (RTCSA 1999)
Abbreviated titleRTCSA 1999
PlaceChina
CityHong Kong
Period13/12/9915/12/99

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