By Anna Maria Vegni, Dharma P. Agrawal
A entire textual content on either present and rising parts of cognitive vehicular networks, this ebook makes a speciality of a brand new type of cellular advert hoc networks. It makes use of a pedagogical strategy using cognitive facets utilized to vehicular environments and includes contributions from famous and excessive profile researchers of their respective specialties. The publication presents major technical and useful insights on assorted views, ranging from a easy heritage on cognitive radio, interrelated applied sciences, software to vehicular networks, technical demanding situations, and destiny traits.
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Extra resources for Cognitive vehicular networks
This lead to variations in the different protocols used and adapted for VANETs. In the following sections, we will present a summary of the protocols for the different networking layers in VANETs. Physical Layer The protocols for the physical layer in VANET rely on the DSRC technology. 9 GHz band and supports communication with a data rate of up to 6 Mbps between vehicles moving at a speed up to 200 Km/h. The DSRC frequency 20 Cognitive Vehicular Networks band is usually divided into 7 channels, 6 used for service and one for control.
Da Cunha, A. Boukerche, L. Villas, A. F. Loureiro. Data Communication in VANETs: A Survey, Challenges and Applications [Research Report] RR-8498, INRIA Saclay, 2014. fr/hal-00981126v2. S. Admin. Vehicle Safety Communications-Applications (VSC-A) Project, Final Report, 2006–2011. pdf.  Customers Angered as iPhones Overload ATT. html.  F. Borgonovo, A. Capone, M. Cesana and L. Fratta. Adhoc mac: New mac architecture for ad hoc networks providing efficient and reliable point-to-point and broadcast services.
Mordacchini, L. Valerio, M. Conti and A. Passarella. A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks. In IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMom), 2013.  M. Naeem, A. Anpalagan, M. C. Lee. Resource allocation techniques in cooperative cognitive radio networks. Communications Survey Tutorials, pp. 729–744, 2014.  OneFit. eu.  P. Pace and V. Loscri. A step forward in the cognitive direction.