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Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty

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4 Author(s)
Minhas, U.F. ; David R. Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada ; Jie Zhang ; Tran, T. ; Cohen, R.

In this paper we introduce a multi-faceted trust model of use for the application of ad-hoc vehicular networks (VANETs) - scenarios where agents representing drivers exchange information with other drivers regarding road and traffic conditions. We argue that there is a need to model trust in various dimensions and that combining these elements effectively can assist agents in making transportation decisions. We then introduce two new elements to our proposed model: i) distinguishing direct and indirect reports that are shared ii) employing a penalty for misleading reports, to promote honesty. We demonstrate how these two elements together serve to increase the value of the trust model, through a series of experiments of simulated traffic. In brief, we present a framework to facilitate the effective sharing of information in VANET environments between agents representing the vehicles.

Published in:

Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on  (Volume:2 )

Date of Conference:

Aug. 31 2010-Sept. 3 2010

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