The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Trust Is Much More than Subjective Probability: Mental Components and Sources of Trust
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Probabilistic validation of aggregated data in vehicular ad-hoc networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Accurate data aggregation for VANETs
Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
Resilient secure aggregation for vehicular networks
IEEE Network: The Magazine of Global Internetworking
Enhancing collaboration in vehicular networks
CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
A Survey on Trust Management for VANETs
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
A fuzzy trust model using multiple evaluation criteria
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Using Fuzzy Logic for Data Aggregation in Vehicular Networks
DS-RT '12 Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications
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Data aggregation is mainly used to combine similar or equal information sent by different nodes of a network before forwarding it with the aim of reducing the number of messages. This is particularly important in Vehicular Ad-hoc NETworks (VANETs) where vehicles broadcast information about the road traffic situation, what can lead to overload the network. In this paper we propose a system for data aggregation based on the primary computational intelligence approach of fuzzy logic. The scheme is automatically launched in case of incident, without any fixed structure on the road, but through the spontaneous formation of aggregation groups. Fuzzy logic is mainly applied in decision-making regarding aggregation and diffusion of aggregated information, while data aggregation is based on digital signature combination. The proposed protocol also uses probabilistic verification of aggregated data in order to reduce computation overhead and delay.