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

Weiwei Sun; Zhuoyao Zhang; Ping Yu; Yongrui Qin

doi:10.1109/EUC.2008.133

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

Weiwei Sun, Zhuoyao Zhang, Ping Yu, Yongrui Qin

Fudan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008)
Editors	Minyi Guo, Zhijun Wang, Feilong Tang, Cheng-Zhong Xu
Publisher	IEEE
Pages	499-505
Number of pages	7
Volume	2
ISBN (Print)	9780769534923
DOIs	https://doi.org/10.1109/EUC.2008.133
Publication status	Published - 2008
Externally published	Yes
Event	5th International Conference on Embedded and Ubiquitous Computing - Shanghai, China Duration: 17 Dec 2008 → 20 Dec 2008 Conference number: 5 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4755185

Conference

Conference	5th International Conference on Embedded and Ubiquitous Computing
Abbreviated title	EUC 2008
Country/Territory	China
City	Shanghai
Period	17/12/08 → 20/12/08
Internet address	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4755185

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10.1109/EUC.2008.133Licence: Unspecified

Cite this

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title = "Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast",

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.",

keywords = "Data scheduling, Multi-item query, On-demand",

author = "Weiwei Sun and Zhuoyao Zhang and Ping Yu and Yongrui Qin",

year = "2008",

doi = "10.1109/EUC.2008.133",

language = "English",

isbn = "9780769534923",

volume = "2",

pages = "499--505",

editor = "Minyi Guo and Zhijun Wang and Feilong Tang and Cheng-Zhong Xu",

booktitle = "Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008)",

publisher = "IEEE",

address = "United States",

note = "5th International Conference on Embedded and Ubiquitous Computing, EUC 2008 ; Conference date: 17-12-2008 Through 20-12-2008",

url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4755185",

}

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, 4756380, IEEE, pp. 499-505, 5th International Conference on Embedded and Ubiquitous Computing, Shanghai, China, 17/12/08. https://doi.org/10.1109/EUC.2008.133

Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast. / Sun, Weiwei; Zhang, Zhuoyao; Yu, Ping et al.
Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008). ed. / Minyi Guo; Zhijun Wang; Feilong Tang; Cheng-Zhong Xu. Vol. 2 IEEE, 2008. p. 499-505 4756380.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Efficient Data Scheduling for Multi-item Queries in On-Demand Broadcast

AU - Sun, Weiwei

AU - Zhang, Zhuoyao

AU - Yu, Ping

AU - Qin, Yongrui

N1 - Conference code: 5

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Data scheduling

KW - Multi-item query

KW - On-demand

UR - https://www.scopus.com/pages/publications/63149179271

U2 - 10.1109/EUC.2008.133

DO - 10.1109/EUC.2008.133

M3 - Conference contribution

AN - SCOPUS:63149179271

SN - 9780769534923

VL - 2

SP - 499

EP - 505

BT - Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing (EUC 2008)

A2 - Guo, Minyi

A2 - Wang, Zhijun

A2 - Tang, Feilong

A2 - Xu, Cheng-Zhong

PB - IEEE

T2 - 5th International Conference on Embedded and Ubiquitous Computing

Y2 - 17 December 2008 through 20 December 2008

ER -

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

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