Congestion and Awareness Control in Cooperative Vehicular Systems

Miguel Sepulcre, Jens Mittag, Paolo Santi, Hannes Hartenstein, Javier Gozalvez
2011 Proceedings of the IEEE  
3 Vehicular Systems 4 The authors of this paper have tested and validated a physical layer simulator 5 integrated with the popular NS-3 network simulator and have 6 made their work available online. ABSTRACT | Cooperative vehicular systems have been identi-10 fied as a promising solution to overcome the current and future 11 needs for increasing traffic safety and efficiency, while 12 providing infotainment and added-value services on the 13 move. To achieve their objectives, cooperative
more » ... ar 14 systems will be based on wireless communications between 15 vehicles and with other infrastructure nodes, and will have to 16 deal with highly dynamic nodes, challenging propagation 17 conditions, and stringent application requirements. By looking 18 at cooperative applications and their data traffic, as well as the 19 current and foreseen spectrum allocations for cooperative 20 vehicular systems, there is a risk that the corresponding radio 21 channels could easily be saturated if no control algorithms are 22 used. The saturation of the radio channels would result in 23 unstable vehicular communications, and thus in an inefficient 24 operation of cooperative systems. As a prime example of 25 upcoming ubiquitous networks contributing to the vision of Ba 26 thousand radios per person,[ cooperative vehicular systems 27 need to be designed to scale to high densities of radios without 28 centralized coordination, while at the same time guaranteeing 29 the requirements of the implemented applications and ser-30 vices, for example the stringent needs of active traffic safety 31 applications. In this paper, we survey and classify various 32 decentralized methods to control the load on the radio 33 channels and to ensure each vehicle's capacity to detect and 34 communicate with the relevant neighboring vehicles, with a 35 particular focus on approaches based on transmit power and 36 rate control. Finally, we discuss the open research challenges 37 that are imposed by different application requirements and 38 potential existing contradictions. 39
doi:10.1109/jproc.2011.2116751 fatcat:pxjstiim7rhprm5vc3jdq3jtum