Cognitive Vehicular Networks

Author:   Anna Maria Vegni ,  Dharma P. Agrawal (University of Cincinnati, Ohio, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367783198


Pages:   245
Publication Date:   31 March 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Cognitive Vehicular Networks


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Overview

A comprehensive text on both current and emerging areas of cognitive vehicular networks, this book focuses on a new class of mobile ad hoc networks. It uses a pedagogical approach utilizing cognitive aspects applied to vehicular environments and comprises contributions from well-known and high profile researchers in their respective specialties. The book provides significant technical and practical insights on different perspectives, starting from a basic background on cognitive radio, interrelated technologies, application to vehicular networks, technical challenges, and future trends.

Full Product Details

Author:   Anna Maria Vegni ,  Dharma P. Agrawal (University of Cincinnati, Ohio, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.458kg
ISBN:  

9780367783198


ISBN 10:   0367783193
Pages:   245
Publication Date:   31 March 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Cognitive Radio. Introduction to Cognitive Radio Technologies. Spectrum Sensing Models in Ad Hoc Networks. Security Aspects in Cognitive Radio Networks. Cooperative Spectrum Sensing. Cognitive Radio for Vehicular Networks. Introduction to Cognitive Vehicular Networks (CVN). Spectrum Allocation Techniques in CVN. Cognitive Routing in CVN. Data Dissemination in CVN. Peer-to-Peer Architectures for CVN. Applications for CVN. Social-Based Applications for CVN. Infotainment in CVN. Crowd Sourcing Applications for CVN.

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Anna Maria Vegni, Dharma P. Agrawal

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