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Index Coding in Vehicle to Vehicle Communication

Pachat, J and Karat, NS and P. P., D and Rajan, BS (2020) Index Coding in Vehicle to Vehicle Communication. In: IEEE Transactions on Vehicular Technology, 69 (10). pp. 11926-11936.

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Official URL: https://doi.org/10.1109/TVT.2020.3006441

Abstract

Vehicle to Vehicle (V2V) communication phase is an integral part of collaborative message dissemination in vehicular ad-hoc networks (VANETs). In this work, we apply index coding techniques to reduce the number of transmissions required for data exchange. The index coding problem has a sender, which tries to meet the demands of several receivers in a minimum number of transmissions. All these receivers have some prior knowledge of the messages, known as the side-information. In this work, we consider a particular case of the index coding problem, where multiple nodes want to share information among them. Under this set up, lower bound on the number of transmissions is established when the cardinality of side-information is the same. An optimal solution to achieve the bound in a special case of VANET scenario is presented. For this special case, we consider the link between the nodes to be error-prone, and in this setting, we construct optimal linear error correcting index codes. © 1967-2012 IEEE.

Item Type: Journal Article
Publication: IEEE Transactions on Vehicular Technology
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: this copyright for this article belongs to author
Keywords: Electronic data interchange; Image coding; Information dissemination; Vehicle to vehicle communications; Vehicles, Error-correcting; Message dissemination; Multiple nodes; Number of transmissions; Optimal solutions; Prior knowledge; Side information; Vehicular Adhoc Networks (VANETs), Vehicular ad hoc networks
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 04 Jan 2022 04:42
Last Modified: 04 Jan 2022 04:42
URI: http://eprints.iisc.ac.in/id/eprint/67371

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