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An event dissemination platform for vehicular and sensor networks


Vehicles and transportation systems have become an integral part of everyone's life. Today, cars are equipped with a number of sensors (e.g., GPS, temperature, stability and traction control systems, park- ing cameras, etc.), and can easily carry wireless communication modules (e.g., GM's OnStar System). Thus, the convergence of vehicles with sensor networks offers viable means for data dissemination to distributed services such as traffic monitoring, congestion control, safety warnings, infotainment, and proactive surveillance of roads and streets. However, data dissemination in vehicular sensor networks (VSNs) is a challenging task due to high mobility of vehicles; frequent network topology changes; high volume of data; and different data dissemination and application requirements. This research project will investigate these issues under a unified framework and then develop novel hybrid adaptive techniques that take advantage of the strengths and deal with the weaknesses of existing data dissemination strategies. This project will focus in devising social network-based schemes that exploit "interactions" among vehicles (i.e., common visited places, encounters, mobility patterns) as well as drivers' social ties to improve data dissemination in VSNs while considering roadside sensor to vehicles, onboard sensor to vehicles, and vehicle to vehicle communications. In addition, the focus of this project will be on the integration of event data collection and dissemination with the BIGCLOUD project. (AU)

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