The SMART CYBER ECOSYSTEM FOR SUSTAINABLE DEVELOPMENT.

The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge numb...

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Bibliographic Details
Other Authors: Kumar, Pardeep, 1976-, Jain, Vishal, 1983-, Ponnusamy, Vasaki, 1974-
Format: eBook
Language:English
Published: [S.l.] : JOHN WILEY & SONS, 2021.
Subjects:
Online Access:CONNECT
CONNECT
Table of Contents:
  • Cover
  • Half-Title Page
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Part 1: INTERNET OF THINGS
  • 1 Voyage of Internet of Things in the Ocean of Technology
  • 1.1 Introduction
  • 1.1.1 Characteristics of IoT
  • 1.1.2 IoT Architecture
  • 1.1.3 Merits and Demerits of IoT
  • 1.2 Technological Evolution Toward IoT
  • 1.3 IoT-Associated Technology
  • 1.4 Interoperability in IoT
  • 1.5 Programming Technologies in IoT
  • 1.5.1 Arduino
  • 1.5.2 Raspberry Pi
  • 1.5.3 Python
  • 1.6 IoT Applications
  • Conclusion
  • References
  • 2 AI for Wireless Network Optimization: Challenges and Opportunities
  • 2.1 Introduction to AI
  • 2.2 Self-Organizing Networks
  • 2.2.1 Operation Principle of Self-Organizing Networks
  • 2.2.2 Self-Configuration
  • 2.2.3 Self-Optimization
  • 2.2.4 Self-Healing
  • 2.2.5 Key Performance Indicators
  • 2.2.6 SON Functions
  • 2.3 Cognitive Networks
  • 2.4 Introduction to Machine Learning
  • 2.4.1 ML Types
  • 2.4.2 Components of ML Algorithms
  • 2.4.3 How do Machines Learn?
  • 2.4.4 ML and Wireless Networks
  • 2.5 Software-Defined Networks
  • 2.5.1 SDN Architecture
  • 2.5.2 The OpenFlow Protocol
  • 2.5.3 SDN and ML
  • 2.6 Cognitive Radio Networks
  • 2.6.1 Sensing Methods
  • 2.7 ML for Wireless Networks: Challenges and Solution Approaches
  • 2.7.1 Cellular Networks
  • 2.7.2 Wireless Local Area Networks
  • 2.7.3 Cognitive Radio Networks
  • References
  • 3 An Overview on Internet of Things (IoT) Segments and Technologies
  • 3.1 Introduction
  • 3.2 Features of IoT
  • 3.3 IoT Sensor Devices
  • 3.4 IoT Architecture
  • 3.5 Challenges and Issues in IoT
  • 3.6 Future Opportunities in IoT
  • 3.7 Discussion
  • 3.8 Conclusion
  • References
  • 4 The Technological Shift: AI in Big Data and IoT
  • 4.1 Introduction
  • 4.2 Artificial Intelligence
  • 4.2.1 Machine Learning
  • 4.2.2 Further Development in the Domain of Artificial Intelligence
  • 4.2.3 Programming Languages for Artificial Intelligence
  • 4.2.4 Outcomes of Artificial Intelligence
  • 4.3 Big Data
  • 4.3.1 Artificial Intelligence Methods for Big Data
  • 4.3.2 Industry Perspective of Big Data
  • 4.4 Internet of Things
  • 4.4.1 Interconnection of IoT With AoT
  • 4.4.2 Difference Between IIoT and IoT
  • 4.4.3 Industrial Approach for IoT
  • 4.5 Technical Shift in AI, Big Data, and IoT
  • 4.5.1 Industries Shifting to AI-Enabled Big Data Analytics
  • 4.5.2 Industries Shifting to AI-Powered IoT Devices
  • 4.5.3 Statistical Data of These Shifts
  • 4.6 Conclusion
  • References
  • 5 IoT's Data Processing Using Spark
  • 5.1 Introduction
  • 5.2 Introduction to Apache Spark
  • 5.2.1 Advantages of Apache Spark
  • 5.2.2 Apache Spark's Components
  • 5.3 Apache Hadoop MapReduce
  • 5.3.1 Limitations of MapReduce
  • 5.4 Resilient Distributed Dataset (RDD)
  • 5.4.1 Features and Limitations of RDDs
  • 5.5 DataFrames
  • 5.6 Datasets
  • 5.7 Introduction to Spark SQL
  • 5.7.1 Spark SQL Architecture