Title :
Using Fuzzy Logic for Data Aggregation in Vehicular Networks
Author :
Tal, Irina ; Muntean, Gabriel-Miro
Author_Institution :
Performance Eng. Lab., Dublin City Univ., Dublin, Ireland
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.
Keywords :
fuzzy logic; telecommunication traffic; vehicular ad hoc networks; bandwidth issue; data aggregation; fuzzy logic; security issue; similarity criteria; standardization; traffic system; vehicular ad-hoc network; Correlation; Data models; Fuzzy logic; Real-time systems; Roads; Security; Vehicles; ad-hoc; aggregation; fuzzy; networks; vehicular;
Conference_Titel :
Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on
Conference_Location :
Dublin
Print_ISBN :
978-1-4673-2954-5
DOI :
10.1109/DS-RT.2012.29