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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

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  • Дата: 30-01-2022, 17:29
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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc NetworksНазвание: Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks
Автор: Sanjoy Das, Ram Shringar Rao, Indrani Das
Издательство: CRC Press
Серия: Wireless Communications and Networking Technologies: Classifications, Advancement and Applications
Год: 2022
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 13.7 MB

This reference text covers intelligent computing through Internet of Things (IoT) and Big Data in Vehicular Environment in a single volume.

The text covers important topics including topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular Ad-hoc network, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna.

In recent times, tremendous growth and usage of various wireless ad-hoc networks such as Mobile Ad-hoc Networks (MANETs), Vehicular Ad-hoc Networks (VANETs), Wireless Sensor Networks (WSNs), and IoT-based Cloud Networks (ICN) has emerged. These emerging networks open lots of opportunities for researchers to explore these areas and enhance their efficacy. Advanced technologies like cloud computing, Big-data, and Internet of Things (IoT)-based services have been well incorporated in wireless networks. Day by day, wireless devices and their uses are increasing very rapidly. Many industries are developing huge numbers of applications of wireless networks to ease our day-to-day works; simultaneously, these applications generate a large volume of data. To better manage these data and optimize network performance, IoT, cloud, and Big-data techniques play a vital role. Optimizing traffic management operations is a big challenge globally due to a massive increase in the number of vehicles, traffic congestions, and road accidents. Therefore, to minimize a large number of traffic accidents, improve the performance of transportation systems, enhance road safety, improve traffic efficiency, and protect the environment, VANETs play an essential role.

VANET has been developed for Intelligent Transportation Systems (ITS), and it is the future of road transportation systems. Current development in wireless communication, computing paradigms, Big-data, and cloud computing fetched the enhancement of intelligent devices equipped with wireless communication capabilities and high-performance processing tools. Various applications of vehicular communication systems generate a large amount of data. Nowadays, these data are placed on a cloud called cloud data and described as Big-data. Researchers and data scientists using IoT include rapidly growing data that can be handled by using Big-data.

Aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, this text:

Covers applications of Internet of Things (IoT) in Vehicular ad-hoc network (VANETs).
Discusses use of machine learning and other computing techniques for enhancing performance of networks.
Covers game theory-based vertical handoffs in Heterogeneous Wireless Networks.
Examines monitoring and surveillance of vehicles through the vehicular sensor network.
Discusses theoretical approaches on software-defined vehicular Ad-hoc network.

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