NDLI: A greedy strategy of data dissemination over multi-channel in mobile computing environments

Content Provider	IEEE Xplore Digital Library
Author	Wei-feng Lv Feng-liang Wang Tong-yu Zhu
Copyright Year	2010
Description	Author affiliation: State Key Lab. of Software Develop Environment, Beihang University, Beijing, China (Wei-feng Lv; Feng-liang Wang; Tong-yu Zhu)
Abstract	Wireless data broadcast is very suitable for delivering information to large user population. In this paper, we concentrate on data scheduling algorithm over multiple channels in mobile computing environments. First, we formulate the average expected delay of multiple channels considering data items' access frequencies, variable length, and different bandwidth of each channel. Second, we propose a GREEDY algorithm, a multi-channel data allocation method that rationally allocates data items to different channels in order to minimize the MCAED. So far as we know, this is the first model that considers changing situations, e.g. item frequencies, length or available bandwidth. Considering these situations, we propose a REGULATING algorithm, a multichannel balancing method that improves system performance. Within each channel, the Log-Time algorithm which supposed to be optimal in single channel is adopted. The performance evaluation shows that the GREEDY algorithm significantly reduces the average expected waiting time and obtains a near-optimal solution under varieties of circumstances.
File Size	880099
File Format	PDF
ISBN	9781424465392
ISSN	21547491
e-ISBN	9781424465422
DOI	10.1109/ICACTE.2010.5579515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models multi-channel mobile computing data broadcast Artificial neural networks scheduling algorithm Greedy
Content Type	Text
Resource Type	Article

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