Towards a robust exchange of imperfect information in inter-vehicle ad-hoc networks using belief functions

Abstract

This paper introduces a system for exchanging and managing imperfect information about events in vehicular networks (VANET). Using belief functions, this model is developed through an application using smartphones. I. INTRODUCTIONIn a world where vehicles are getting more and more predominant, safety issues are a major concern for public authorities and manufacturers. On the other hand, the integration of technology within the vehicles is skyrocketing. From break assistance to traffic information, the inter-vehicle communication becomes affordable.The ad-hoc networks are able to get organized without infrastructure. Instead of communicating via a central access point, the ad-hoc networks are formed of wireless nodes communicating to exchange information. In mobility context, the ad-hoc networks are called Mobile Ad-Hoc NetworksMANET) [4]. Introduced by Hong [13] and Royer [19], a comparison between different algorithms is presented by Boukerche [1]. Vehicular Ad-Hoc Networks (VANET) are branch of MANET applied to Inter-Vehicle Communication (IVC)where nodes are highly dynamic. Two modes of communication are known in IVC: Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V). The present work concerns V2V communication where information are decentralized and vehicles build their own information assembly.Many projects have been developed to make inter-vehicle communication theory possible in real life. In relation to network protocols, FleetNet (2000network protocols, FleetNet ( -2003 [11], [12] and CarTalk (2001-2004) [16], [18] projects use geographical positions for inter-vehicle communication, CarTalk project using no existing infrastructure. Focusing on data dissemination, TrafficView [17] is a road data dissemination system using V2V communication. It allows continuous exchange between vehicles of position and speed information, to inform drivers about road situation (traffic, weather, quickest way, . . .). Concerning data management, Mobi-Dik [27], [28] project has the objective to build a low-bandwidth MANET database which self-manages. It consists on sort resources, choose and store only the most relevant information, and reduce propagation of information to a limited spatial zone and limited time interval.In inter-vehicle networks, VESPA (Vehicular Event Sharing with a mobile P2P Architecture) [2], [5], [6] is a system

Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles

“…It is the mass allocated to the hypothesis: the answer to question Q belongs to the subset A of Ω. Each subset A of Ω such that m(A)> 0 is called a focal element of m. The theory allows the allocation of belief to subsets of Ω with no influence on the singletons, contrary to the probability theory [12]. The mass m(Ω) represents the degree of ignorance of the source which has provided the information m. The mass on the empty set m(∅) represents the conflict.…”

Methods using belief functions to manage imperfect information concerning events on the road in VANETs

“…In previous research projects, different methods [13,8,21,9,10,11] have been introduced to share and manage road events in inter-vehicle communication using belief functions.…”

A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks

“…Early work integrating belief functions has already been developed by Cherfaoui et al in [4]. It has been extended in [3] where the authors propose a first model able to manage different events on the same segment of road, and a simple strategy for sending messages is exposed. Each vehicle can either send new messages created by the driver regarding events on the road or transfer messages received from other vehicles, each vehicle building its own map of the current situation without delivering to other vehicles its results of combination or deductions.…”