{"id":771,"date":"2016-10-04T17:04:39","date_gmt":"2016-10-04T17:04:39","guid":{"rendered":"http:\/\/anrg.usc.edu\/www\/?page_id=771"},"modified":"2022-04-02T15:26:31","modified_gmt":"2022-04-02T15:26:31","slug":"vehicular-networks","status":"publish","type":"page","link":"https:\/\/anrg.usc.edu\/www\/research\/vehicular-networks\/","title":{"rendered":"Vehicular Networks"},"content":{"rendered":"
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Vehicular Networks<\/h1>\n<\/div>\n<\/div>\n

Description\u00a0<\/a>| People<\/a> | Projects\u00a0<\/a>| Links<\/a>\u00a0| Publications <\/a><\/p>\n

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<\/a>Description<\/h2>\n

Recent developments in the automotive industry point to a new emerging domain of connected vehicles, in which vehicles equipped with radios can communicate a wide range of information with each other and the wider Internet, including traffic and safety updates as well as infotainment content. The broad goal of our research is to develop a hybrid network architecture for such vehicular networks which combines both the existing cellular infrastructure as well as new vehicle-to-vehicle (V2V) communication capabilities. The hypothesis is that such a hybrid network architecture will improve cost, capacity, and robustness, compared to either a purely centralized cellular-based approach or a purely distributed V2V approach. Under a hybrid architecture, our research in this area aims to design protocols for information dissemination, aggregation, and storage, that can exploit the spatio-temporally localized nature of vehicular applications, as well as techniques for offloading computation from vehicles to road-side edge or cloud-based infrastructure.<\/p>\n

This project is a unique academia-industry collaborative project between researchers at the University of Southern California and General Motors. While the focus is very much on basic research disseminated to the academic community through publications, the close interaction with a prominent industry partner enables the research to have a strong impact on real-world vehicular networks. The aimed-for advance in information technology for the automotive domain could have a significant social impact by enabling improvements in traffic safety, efficiency, user comfort and productivity.<\/p>\n<\/div>\n

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<\/a>People<\/h2>\n

PI\/Director: <\/b> Bhaskar Krishnamachari<\/p>\n

Ph.D. Students: <\/b>
\nPradipta Ghosh
\nKeyvan Rezaei Moghadam
\nMaheswaran Sathiamoorthy
\nQuynh Nguyen
\nShangxing Wang<\/p>\n

Collaborators:<\/strong>
\nFan Bai – General Motors Research<\/p>\n<\/div>\n

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<\/a>Projects<\/h2>\n