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Performance Evaluation of a Cooperative Reputation System for Vehicular Delay-Tolerant Networks

Dias, João A. F. F. Dias ; Rodrigues, J. R. ; Ullah, S. u. ; Shu, L. S.

Eurasip Journal on Wireless Communications and Networking Vol. 88, Nº 1, pp. 2 - 13, May, 2014.

ISSN (print): 1687-1499
ISSN (online): 1687-1472

Journal Impact Factor: 0,805 (in 2013)

Digital Object Identifier: 10.1186/1687-1499-2014-88

Abstract
In the last decade, both scientific community and automotive industry enabled communications among vehicles in different kinds of scenarios proposing different vehicular architectures. Vehicular delay-tolerant networks (VDTNs) were proposed as a solution to overcome some of the issues found in other vehicular architectures, namely, in dispersed regions and emergency scenarios. Most of these issues arise from the unique characteristics of vehicular networks. Contrary to delay-tolerant networks (DTNs), VDTNs place the bundle layer under the network layer in order to simplify the layered architecture and enable communications in sparse regions characterized by long propagation delays, high error rates, and short contact durations. However, such characteristics turn contacts very important in order to exchange as much information as possible between nodes at every contact opportunity. One way to accomplish this goal is to enforce cooperation between network nodes. To promote cooperation among nodes, it is important that nodes share their own resources to deliver messages from others. This can be a very difficult task, if selfish nodes affect the performance of cooperative nodes. This paper studies the performance of a cooperative reputation system that detects, identify, and avoid communications with selfish nodes. Two scenarios were considered across all the experiments enforcing three different routing protocols (First Contact, Spray and Wait, and GeoSpray). For both scenarios, it was shown that reputation mechanisms that punish aggressively selfish nodes contribute to increase the overall network performance.