SOCIAL VEHICLE SWARMS: A NOVEL PERSPECTIVE ON SOCIALLY AWARE VEHICULAR COMMUNICATION ARCHITECTURE

Authored by Yue Zhang, Bin Song, Xiaojiang Du, Fang Tian

Date Published: 2016

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

Internet of vehicles is a promising area related to D2D communication and the Internet of Things. We present a novel perspective on vehicular communications and social vehicle swarms, to study and analyze a socially aware Internet of vehicles with the assistance of an agent-based model intended to reveal hidden patterns behind superficial data. After discussing its components (its agents, environments, and rules), we introduce supportive technology and methods, deep reinforcement learning, privacy preserving data mining, and sub-cloud computing in order to detect the most significant and interesting information for each individual effectively, which is the key desire. Finally, several relevant research topics and challenges are discussed.

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