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

Формат
Мова книги
Видавництво
Рік видання

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna.

FEATURES

  • Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs)
  • Discusses use of machine learning and other computing techniques for enhancing performance of networks
  • Explains game theory-based vertical handoffs in heterogeneous wireless networks
  • Examines monitoring and surveillance of vehicles through the vehicular sensor network
  • Investigates theoretical approaches on software-defined VANET

The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

Код товару
20203224
Характеристики
Тип обкладинки
Тверда
Мова
Англійська
Кількість сторінок
272
Опис книги

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna.

FEATURES

  • Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs)
  • Discusses use of machine learning and other computing techniques for enhancing performance of networks
  • Explains game theory-based vertical handoffs in heterogeneous wireless networks
  • Examines monitoring and surveillance of vehicles through the vehicular sensor network
  • Investigates theoretical approaches on software-defined VANET

The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

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