NDLI: An efficient destination-based data management policy for vehicular networks

Content Provider	IEEE Xplore Digital Library
Author	Morales, M.M.C. Rim Haw Jun Lee Choong Seon Hong
Copyright Year	2011
Description	Author affiliation: Computer Engineering Department, Kyung Hee University, South Korea (Morales, M.M.C.; Rim Haw; Jun Lee; Choong Seon Hong)
Abstract	The Vehicular Ad hoc Network (VANET) takes the advantage of the relative mobility of the vehicles to opportunistically share dynamic information when they meet, aiming to avoid accidents and traffic jams, get local information of the nearby places, enjoy entertainment applications among others. However, the shared information must be handled properly, saving bandwidth and tackling the unnecessary duplication of data, preventing the scalability problem and congestion. The current solutions of these problems incorporate the concept of Relevance to share the information in a clever way but they do not exploit the advantage of knowing the destination of the vehicles and context-aware services to follow behavior patterns. Therefore, we propose an efficient destination-based data management policy, which follows the vehicular behavior and context to determine the relevance or importance of the information using a publisher/subscriber model and cluster-based dissemination. In order to demonstrate the feasibility of the proposal we implemented sets of simulation in which the results reported an outstanding performance in terms of congestion and delivery ratio.
Starting Page	399
Ending Page	404
File Size	450467
Page Count	6
File Format	PDF
ISBN	9781612846682
e-ISBN	9781612846712
DOI	10.1109/ITST.2011.6060089
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-23
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Context-aware services publish/subscribe data management Roads match function Subscriptions relevance Vehicles Global Positioning System VANETs context-aware service Accidents
Content Type	Text
Resource Type	Article

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