on id="u6ff3ced7-04f4-5a58-9e48-993dbe67457f">
Table of Contents
1 Cover
4 Preface
5 Part 1: INTERNET OF THINGS 1 Voyage of Internet of Things in the Ocean of Technology 1.1 Introduction 1.2 Technological Evolution Toward IoT 1.3 IoT-Associated Technology 1.4 Interoperability in IoT 1.5 Programming Technologies in IoT 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 2.3 Cognitive Networks 2.4 Introduction to Machine Learning 2.5 Software-Defined Networks 2.6 Cognitive Radio Networks 2.7 ML for Wireless Networks: Challenges and Solution Approaches 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 4.3 Big Data 4.4 Internet of Things 4.5 Technical Shift in AI, Big Data, and IoT 4.6 Conclusion References 5 IoT’s Data Processing Using Spark 5.1 Introduction 5.2 Introduction to Apache Spark 5.3 Apache Hadoop MapReduce 5.4 Resilient Distributed Dataset (RDD) 5.5 DataFrames 5.6 Datasets 5.7 Introduction to Spark SQL 5.8 SQL Context Class in Spark 5.9 Creating DataFrames 5.10 Aggregations 5.11 Running SQL Queries on DataFrames 5.12 Integration With RDDs 5.13 Data Sources 5.14 Operations on Data Sources 5.15 Industrial Applications 5.16 Conclusion References 6 SE-TEM: Simple and Efficient Trust Evaluation Model for WSNs 6.1 Introduction 6.2 Related Work 6.3 Network Topology and Assumptions 6.4 Proposed Trust Model 6.5 Result and Analysis 6.6 Conclusion and Future Work References 7 Smart Applications of IoT 7.1 Introduction 7.2 Background 7.3 Smart City 7.4 Smart Healthcare 7.5 Smart Agriculture 7.6 Smart Industries 7.7 Future Research Directions
