Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions begins with discussions on how the transportation system has transformed into today’s Intelligent Transportation System (ITS). It explores the design goals, challenges, and frameworks for modeling an ITS network, discussing vehicular network model technologies, mobility management architectures, and routing mechanisms and protocols. It looks at the Internet of Vehicles, the vehicular cloud, and vehicular network security and privacy issues. The book investigates cooperative vehicular systems, a promising solution for addressing current and future traffic safety needs, also exploring cooperative cognitive intelligence, with special attention to spectral efficiency, spectral scarcity, and high mobility. In addition, users will find a thorough examination of experimental work in such areas as Controller Area Network protocol and working function of On Board Unit, as well as working principles of roadside unit and other infrastructural nodes. Finally, the book examines big data in vehicular networks, exploring various business models, application scenarios, and real-time analytics, concluding with a look at autonomous vehicles.
<ul>
<li>Proposes cooperative, cognitive, intelligent vehicular networks</li>
<li>Examines how intelligent transportation systems make more efficient transportation in urban environments</li>
<li>Outlines next generation vehicular networks technology</li>
</ul>

Intelligent Vehicular Networks and Communications: Fundamentals, Architectures and Solutions

Computers & Technology

Paul, Anand

Chilamkurti, Naveen

Daniel, Alfred

Rho, Seungmin

Networking & Cloud Computing

Elsevier

What is human happiness and how can we promote it? These questions are central to human existence and Happiness Explained draws on scientific research from economics, psychology, and philosophy, as well as a range of other disciplines, to outline a new paradigm in which human flourishing plays a central role in the assessment of national and global progress. It shows why the traditional national income approach is limited as a measure of human wellbeing and demonstrates how the contributors to happiness, wellbeing, and quality of life can be measured and understood across the human life course. Discussing wide-ranging aspects, from parenting, decent employment, friendship, education, and health in old age, through to money, autonomy, and fairness, as well as personal strategies and governmental policies used in the pursuit of happiness, it offers a science-based understanding of human flourishing. Written by an economist involved in helping governmental organizations move 'beyond GDP', Happiness Explained shows how a wide range of factors that contribute to better and happier lives and how, together, they provide a new blueprint for the assessment of progress in terms of personal wellbeing.

Happiness Explained

Business & Money

Economics

Audible Studios on Brilliance Audio

Big Data with Hadoop MapReduce

The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc. Ultimately, readers will be able to: * understand what big data is and the factors that are involved * understand the inner workings of MapReduce, which is essential for certification exams * learn the features and weaknesses of MapReduce * set up Hadoop clusters with 100s of physical/virtual machines * create a virtual machine in AWS * write MapReduce with Eclipse in a simple way * understand other big data processing tools and their applications

Jeyaraj, Rathinaraja

Pugalendhi, Ganeshkumar

Reference

APPLE ACADEMIC

Apple Academic Press

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Books by Paul, Anand