Magaia, Naercio, Sheng, Zhengguo, Pereira, Paulo Rogério and Correia, Miguel (2018) REPSYS: A robust and distributed incentive scheme for in-network caching and dissemination in Vehicular Delay-Tolerant networks. IEEE Wireless Communications, 25 (3). pp. 65-71. ISSN 1536-1284

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Abstract

In this article, a robust and distributed incentive scheme for in-network caching and dissemination in cellular-based Vehicular Delay-Tolerant Networks (REPSYS) is proposed. REPSYS is robust because despite taking into account first- and second-hand information, it is resilient against false accusations and praise, and distributed, as the decision to interact with another vehicle depends entirely on each vehicle. The performance evaluation shows that REPSYS is capable, while evaluating each vehicle’s participation in the network to classify correctly vehicles in most cases. In addition, it reveals that there are trade-offs in REPSYS, for example, to reduce detection time of vehicles that neither cache nor disseminate other vehicles’ data, one may sacrifice the system’s resilience against false accusations and praise, or even, by penalizing vehicles that do not disseminate data, one may temporarily isolate vehicles that could contribute to data dissemination.

Item Type:	Article
Additional Information:	(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Communications Research Group
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User:	Zhengguo Sheng
Date Deposited:	23 Jan 2018 10:17
Last Modified:	15 Aug 2018 12:13
URI:	http://srodev.sussex.ac.uk/id/eprint/73085

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