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Using Fuzzy Logic for Data Aggregation in Vehicular Networks

Tal, Irina and Muntean, Gabriel-Miro (2012) Using Fuzzy Logic for Data Aggregation in Vehicular Networks. In: IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2012. IEEE, pp. 151-154. ISBN 9781467329545

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Abstract

Information provided in real-time via Vehicular Ad-hoc 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.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Related URLs:
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 30 Jan 2018 11:39
Last Modified: 30 Jan 2018 11:39
URI: http://trap.ncirl.ie/id/eprint/2957

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