With the development of vehicular networks, it is possible to implement accident warning systems that directly (i.e., without any external supporting infrastructure) alert approaching vehicles. In this scenario, each vehicle is provided with a sensor that, under abnormal conditions, triggers an alarm message. A vehicle that receives this information: (a) warns the driver; and (b) relays such information to following vehicles for safety purposes. We here present an optimal algorithm for one dimensional (1D), multi-lane, strip-shaped portions of roads. It guarantees alarm messages are received along the minimum hop path, even when communications are asymmetric and transmission ranges vary from vehicle to vehicle. To the best of our knowledge, this is the first algorithm capable of reaching such performance under realistic wireless propagation assumptions
M. Roccetti, G. Marfia, A. Amoroso (2010). An Optimal 1D Vehicular Accident Warning Algorithm for Realistic Scenarios. LOS ALAMITOS, CA : IEEE Computer Press.
An Optimal 1D Vehicular Accident Warning Algorithm for Realistic Scenarios
ROCCETTI, MARCO;MARFIA, GUSTAVO;AMOROSO, ALESSANDRO
2010
Abstract
With the development of vehicular networks, it is possible to implement accident warning systems that directly (i.e., without any external supporting infrastructure) alert approaching vehicles. In this scenario, each vehicle is provided with a sensor that, under abnormal conditions, triggers an alarm message. A vehicle that receives this information: (a) warns the driver; and (b) relays such information to following vehicles for safety purposes. We here present an optimal algorithm for one dimensional (1D), multi-lane, strip-shaped portions of roads. It guarantees alarm messages are received along the minimum hop path, even when communications are asymmetric and transmission ranges vary from vehicle to vehicle. To the best of our knowledge, this is the first algorithm capable of reaching such performance under realistic wireless propagation assumptionsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.