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Using fuzzy logic for data aggregation in vehicular networks

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conference contribution
posted on 2012-12-20, 15:10 authored by Irina Tal, Gabriel-Miro Muntean
Information provided in real-time via Vehicular Adhoc Networks is of great value in any kind of traffic systems. Bandwidth issues arise in this type of networks due to the potential large number of nodes. Data aggregation addresses these issues avoiding the dissemination of similar messages in the network. The lack of flexibility in the similarity criteria, security issues and the need of standardization were mentioned among the challenges of data aggregation schemes. Fuzzy Logic, very efficient in real-time systems, has been lately employed in data aggregation schemes. This paper analyzes various solutions for using Fuzzy Logic in data aggregation schemes and their mode of addressing the underlined challenges. The analysis conducted concludes that making use of Fuzzy Logic in data aggregation schemes is suitable to solving some of their issues and has great benefits in the development process of traffic systems that relies on these schemes.

History

Publication

IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications;pp. 151-154

Publisher

IEEE Computer Society

Note

peer-reviewed

Other Funding information

SFI

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“© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Language

English

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