NDLI: Distributed Skip Air Index for smart broadcasting in intelligent transportation systems

Content Provider	IEEE Xplore Digital Library
Author	Maglaras, L.A. Katsaros, D.
Copyright Year	2012
Description	Author affiliation: Department of Computer & Communication Engineering, University of Thessaly, Volos, Greece (Maglaras, L.A.; Katsaros, D.)
Abstract	Wireless data broadcast received a lot of attention from industries and academia in recent years. In any form of a push-based broadcast, access latency and tuning time are vital issues, and in order to address the tradeoff among these competing goals, the broadcasting of indices along with the data is the most viable solution. Currently, two broad indexing families exist: those that exploit some form of a tree structure, and those that are based on some ‘distributed access on the air’ mechanism. The latter family is the most popular and viable, because it allows for following ‘air-pointers’ without the need to first find a tree root. The champion method of the distributed air index is the Exponential index which however is not appropriate when the access pattern is skewed, i.e., some data items are more popular than the others. To address this shortcoming, we design a Distributed Skip Air Index (DiSAIn), which exploits access statistics in order to improve average tuning time, while it preserves the access latency equal to that of the original Exponential index. To attest the superiority of the proposed indexing method, we perform a detailed simulation evaluation of the two competing methods.
Starting Page	624
Ending Page	629
File Size	283517
Page Count	6
File Format	PDF
ISBN	9781467321198
ISSN	19310587
e-ISBN	9781467321181
DOI	10.1109/IVS.2012.6232223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tuning Indexing Energy consumption Servers Vehicles Wireless communication
Content Type	Text
Resource Type	Article

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