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Title Protecting Video Streaming For Automatic Accident Notification In Smart Cities
ID_Doc 43558
Authors Piñol P.; Garrido P.; Martinez-Rach M.; Perez-Malumbres M.
Year 2023
Published Springer Proceedings in Complexity
DOI http://dx.doi.org/10.1007/978-3-031-19560-0_24
Abstract Video streaming over VANETs is a very challenging task due both to the network characteristics (packet-loss-prone networks), and to the video streaming requirements (high bandwidth), and so, solutions need to be provided in order to keep the received video over a minimum quality threshold. The specific case of use studied applies video streaming over VANETs to Automatic Accident Notification in Smart Cities. When a vehicle suffers an accident it sends an automatic notification to the emergency services and also to the surrounding vehicles in order to warn them (this notification can also be sent by a vehicle whose driver witnesses the accident). Then, a short video is recorded and sent to the emergency services. This video can be very useful to evaluate the seriousness of the situation. In this work, a simulation framework is implemented and several alternatives to improve the quality of the video received are proposed and evaluated, so it can be as much useful as possible, maintaining the quality of the reconstructed video over a minimum acceptable threshold. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords Automatic accident notification; Smart cities; VANET; Video streaming


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