GeOpps: Geographical Opportunistic Routing for Vehicular Networks

By Ilias Leontiadis, Cecilia Mascolo. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2007

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Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems (2018, background): “The delivery ability of a vehicle can be measured according to local and global information such as geographic features [19], [23], [24], real-time traffic [19] and vehicle trajectories [25], [26].”
A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC) (2016, background): “…existing routi7ng protocols for VANETs have explored various aspects on utilizing roadway characteristics or relays to achieve acceptable performance but still have problems on specific application for CACC, such as lack of methods against high mobility, low disruption tolerance, large delay, etc.”
Vehicular ad hoc networks (VANETS): status, results, and challenges (2010, neutral): “[31] describe a geographical opportunistic rout-”
Simulation of Urban Mobility (2013, background): “(MAS) metaphor has become recognized as a useful approach for modelling and simulating complex systems [14].”
Vehicular Cloud Computing (2012, background): “There are significant differences in privacy (mission agents know each other), and possibly in communications costs as mission members may be geographically separated.”