Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast

Weiwei Sun, Zhuoyao Zhang, Ping Yu, Yongrui Qin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Data broadcast is an efficient way of data dissemination in the wireless mobile environment. Recently, many researchers pay attention to broadcast scheduling for multi-item queries which is a more practical problem in this field. However, only a few works discuss the scheduling problem in on-demand environment. In this paper, we propose a heuristic approach called LRL for the broadcast scheduling problem. Performance analysis is put forward and simulation experiments show that our approaches achieve a comparative improvement compared with the existing methods.

Original languageEnglish
Title of host publicationProceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008)
EditorsMinyi Guo, Zhijun Wang, Feilong Tang, Cheng-Zhong Xu
PublisherIEEE
Pages499-505
Number of pages7
Volume2
ISBN (Print)9780769534923
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event5th International Conference on Embedded and Ubiquitous Computing - Shanghai, China
Duration: 17 Dec 200820 Dec 2008
Conference number: 5
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4755185

Conference

Conference5th International Conference on Embedded and Ubiquitous Computing
Abbreviated titleEUC 2008
CountryChina
CityShanghai
Period17/12/0820/12/08
Internet address

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  • Cite this

    Sun, W., Zhang, Z., Yu, P., & Qin, Y. (2008). Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast. In M. Guo, Z. Wang, F. Tang, & C-Z. Xu (Eds.), Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008) (Vol. 2, pp. 499-505). [4756380] IEEE. https://doi.org/10.1109/EUC.2008.133