Internet of Things IoT in 5G Mobile Technologies 1st Edition by Constandinos Mavromoustakis, George Mastorakis, Jordi Mongay Batalla ISBN 9783319309132 3319309137

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ISBN 10: 3319309137
ISBN 13: 9783319309132
Author: Constandinos Mavromoustakis, George Mastorakis, Jordi Mongay Batalla 

Internet of Things IoT in 5G Mobile Technologies 1st Edition Table of contents:

Part I IoT Resource Management in Application Domains

1 Towards the Usage of CCN for IoT Networks

1 Introduction

2 The Internet-of-Things (IoT) World

2.1 Smart City

2.2 Smart Home

2.3 Vehicles/Automotive Applications

2.4 Healthcare/Telemedicine/Wearable Applications

2.5 Sports & Leisure

3 Introduction to CCN (Content-Centric Networking)

4 Technical Challenges for IoT and CCN Advantages

4.1 Configuration and Scalability

4.2 Efficiency

4.3 Quality of Service

4.4 Functionalities on Heterogeneous Devices

4.5 Architecture

4.6 Mobility

4.7 Migration/Interconnection

5 Use-Case: Retrieval of Physical Objects in Smart Cities

5.1 Scenario of the Use-Case

5.2 Networking Architecture

5.3 CCN-Based IoT Sensors

5.4 IP/CCN Gateway

5.5 Protocols

5.6 Call Flow

5.7 Graphical User Interface

6 Conclusion

References

2 On the Track of 5G Radio Access Network for IoT Wireless Spectrum Sharing in Device Positioning Ap

Abstract

1 Introduction

2 Requirements for Users’ Data Collection System

3 Big Data Platform and Computational Algorithms

4 Wireless Access

5 Summary and Conclusions

Acknowledgments

References

Millimetre Wave Communication for 5G IoT Applications

1 Introduction

2 Millimetre Wave Channel

3 Millimetre Wave Modulation

3.1 OFDM

3.2 FBMC

3.3 UFMC

3.4 SC

3.5 Evaluation

4 Millimetre Wave Channel Coding

4.1 Requirements for 5G

5 Millimetre Wave MIMO

5.1 Spatial Multiplexing

5.2 Beam Forming

5.3 Evaluation

6 Conclusions

7 Future Research Directions

References

4 Challenges Implementing Internet of Things (IoT) Using Cognitive Radio Capabilities in 5G Mobile N

Abstract

1 Introduction

2 Smart Environments in 5G Wireless Networks

2.1 Defining Smart Environments

2.2 Smart Environment Architectures and Applications

3 Smart Environment Resources

4 Cognitive Radio Networks and Platforms

4.1 Cognitive Radio Definition

4.2 CR Platforms and Testbeds

5 Current Standards and Application Scenarios

5.1 Indoor Smart Environments

5.2 Outdoor/Long-Range Smart Environments

5.3 IoT and Cognitive Radio Applications

6 Research Challenges in Resource Management for IoT in 5G Mobile Networks

7 Conclusions

References

Role Coordination in Large-Scale and Highly-Dense Internet-of-Things

1 Introduction

2 Related Work

2.1 Sensing and Relaying

2.2 Data-Control (Aggregation and Replication)

2.3 Data-Fusion for Event-Detection

2.4 Role Coordination Frameworks

2.5 Related Work Summary

3 Framework for Role Coordination in Large-Scale and Highly-Dense IoT Scenarios

3.1 Applications, Requirements and Objectives

3.2 Architecture Overview

3.3 Task 1: Sensing, Individual Detection, and Collection of Auxiliary Data

3.4 Task 2: Agreement on Detection and Event Criticality Level

3.5 Task 3: Data-Control Strategies Decision

3.6 Task 4: Tree and Relay Selection

4 Discussion

4.1 Illustration

4.2 Qualitative Comparison

5 Conclusion

References

Energy Harvesting and Sustainable M2M Communication in 5G Mobile Technologies

1 Introduction

2 Perpetual Operation of IoT

2.1 Ambient Energy Harvesting Solution for Low Power Devices

2.2 Dedicated RF Energy Transfer to Meet High Power Requirements

2.3 Analytical Characterization of Wireless RF Charging Process

3 Strategies for Improving RF Energy Transfer Efficiency

3.1 Limitations of Conventional RF Energy Transfer Technology

3.2 Multi-path Energy Routing

3.3 Optimal Energy Relay Placement in Two Hop RFET

3.4 Beamforming Techniques

3.5 Network Level Strategies

3.6 A Case Study: Networking Consequence of Smart RF Harvesting Communications

4 Wireless Powered Communication Networks

4.1 State-of-the-Art Research

4.2 RF-Powered M2M Communications

5 Future Research Directions and Opportunities

5.1 Joint Information and Energy Transfer

5.2 Relay Assisted M2M Communication

5.3 Software Defined Radio Aided M2M Communication

6 Conclusion

References

Part II Applications of IoT in 5G Access Technologies

Green 5G Femtocells for Supporting Indoor Generated IoT Traffic

1 Introduction

2 Overview of Femtocell Networks

3 System Model

3.1 Channel Model

3.2 Calculation of the Data Rates

4 Network Utility Maximization

4.1 Problem Formulation

4.2 Utility Selection

5 Centralized RRM Algorithm

6 Green FAP Switching Algorithm

7 Results and Discussion

7.1 Results of Centralized RRM with All the FAPs Active

7.2 Results of the Green Network Operation with FAP On/Off Switching

8 Conclusions

References

8 On the Research and Development of Social Internet of Things

Abstract

1 Introduction

2 From IoT to SIoT

3 Advantages of SIoT

3.1 Navigability

3.2 Flexibility

3.3 Trustworthiness

4 SIoT Challenges

4.1 Heterogeneous Devices

4.2 Data Handling and Management

4.3 Energy Consumption Management

4.4 Security, Trust, and Privacy

4.5 Resilience to Faults

5 Some Recent Developments

5.1 Human Behavior

5.2 Network Navigability

5.3 Key Aspects of Network Navigability

6 Scope for Future Work

7 Conclusions

References

Microgrid State Estimation Using the IoT with 5G Technology

1 Introduction

1.1 Related Research

1.2 Contributions

2 Architecture and Vision of the IoT

3 Evolution Path of Communication Standards

4 A Potential 5G Architecture, Visions, Challenges and Design Principles

5 Microgrid

5.1 Mathematical Dynamic Model of the DER

5.2 Discretisation of the DER State-Space Model

6 Proposed 5G Communication Systems

7 Proposed Distributed State Estimation Using the IoT with 5G Networks

8 Simulation Results and Discussions

9 Conclusions

References

Building IoT Ecosystems from Mobile Clouds at Network Edge

1 Overview of Io* Technologies

2 IoT: Internet of Things

3 IoV: Internet of Vehicles

4 IoE: Internet of Everything

5 Cloudification of Io* Technologies

6 Parallel Connectivity and Mobile Clouds

6.1 Mobile Clouds

6.2 4G+ Technologies

6.3 Multi- and GroupConnect

6.4 Wireless Connectivity Virtualization

6.5 Practical Advantages of Mobile Clouds

7 A Cloud-Based IoT Stack

7.1 Device Virtualization

7.2 Device Cloudification

7.3 Cloud Boxes: from DCs to Edge Devices

8 Example IoT Clouds

8.1 Cloud-Based Video Streaming

8.2 Vehicular Clouds as DC Extentions

8.3 Vehicular Clouds with Beacons

9 Summary and Future Directions

References

Part III Architecture of IoT and Related Technologies

11 Middleware Platform for Mobile Crowd-Sensing Applications Using HTML5 APIs and Web Technologies

Abstract

1 Introduction

2 Crowdsensing Architectures

3 Related Technologies

3.1 HTML5

3.1.1 Overview

3.1.2 HTML5 APIs

3.2 Google Services

3.2.1 Google Maps and Google Maps API v3

3.2.2 Google Geocoding API v3

3.2.3 Geo-fence

3.3 Meteor Platform

3.4 JavaScript-Based Technologies

3.4.1 JSON

3.4.2 BSON

3.4.3 GeoJSON

3.4.4 Ext JS Framework

3.5 X3D and X3Dom

4 Platform Architecture

4.1 Components

4.1.1 Client Component

4.1.2 Server Component

4.1.3 3rd Party Component

5 Demostration and Implementation Scenarios

5.1 The Client Component

5.1.1 Data Measurement and Data Conversion Module

5.1.2 Data Insertion Module

5.1.3 Distance Calculator

5.1.4 Geofence Functionality

5.1.5 Real-time Live Users

5.2 The Server Component

5.2.1 Reverse Geocoding Job

5.2.2 NoiseTube Request Job

5.2.3 History Record Jobs

5.2.4 Clean and Record Generator Jobs

5.2.5 Time Aggregation Job

5.2.6 Hourly Job

5.2.7 Daily—Monthly—Yearly Job

5.3 The 3rd Party Component

5.3.1 Access Data API

5.3.2 Dynamic Map and Data Uploading Module

5.3.3 Real-Time Map

5.3.4 Ticketing Functionality

5.3.5 Historical Map

5.3.6 Charts by Time

5.3.7 Averages 2D sim Ext JS by Country

5.3.8 Averages 3D sim X3Dom by Country

6 Privacy

6.1 Introduction

6.2 Anonymization

6.3 Encryption

6.4 Data Perturbation

7 Motivation—User Incentives

7.1 Introduction

7.2 Gamification

7.3 Gamification in Crowdsensing

7.4 Noise Pollution Puzzles

8 Conclusion and Future Work

References

12 Identification and Access to Objects and Services in the IoT Environment

Abstract

1 Introduction

2 Current Technologies for IoT Naming

2.1 IPv6 Addressing

2.2 EPC

2.3 Ucode

2.4 HIP

3 Solutions Proposed by Research Projects

3.1 OpenIoT

3.2 IoT@Work

3.3 iCORE

3.4 VIRO

3.5 MobilityFirst

3.6 IDSECOM

4 Research and Future Development Trends and Forecast

5 Summary and Conclusions

Acknowledgments

References

13 A Generic and Scalable IoT Data Fusion Infrastructure

Abstract

1 Introduction

2 Basic Principles: Contextors and Algorithms

3 The Fusion Box Architecture

3.1 The Network Module

3.2 The Configuration Module

3.3 The Data Processing Engine

3.4 The Fusion Box Expert User Interface

4 The Data Processing Workflow Description Language

4.1 An Example DPW Script: Detection of a Fire Event

5 The Fusion Box Ecosystem

6 Conclusions and Platform Extensions

Acknowledgments

References

ONSIDE-SELF: A Selfish Node Detection and Incentive Mechanism for Opportunistic Dissemination

1 Introduction

2 Related Work

3 Data Dissemination in Opportunistic Networks (ONSIDE)

4 Selfishness in Opportunistic Routing (SENSE)

5 ONSIDE-SELF

6 Experimental Results

6.1 Experimental Setup

6.2 Results

7 Conclusions

References

Middleware Technology for IoT Systems: Challenges and Perspectives Toward 5G

1 Introduction

2 Middleware Technology for IoT Systems

2.1 IoT Ecosystem Overview

2.2 Horizontal Architecture Approach for IoT Systems

2.3 SOA-based IoT Middleware

3 Challenges Introduced by 5G in IoT Middleware

3.1 Technological Requirements of 5G Systems

3.2 5G-based IoT Services and Applications Requirements

3.3 5G-based Challenges for IoT Middleware

4 Perspectives and a Middleware Approach Toward 5G

4.1 COMPaaS Middleware

5 Related Work

5.1 Internet of Things Projects

5.2 Interoperability and Scalability

5.3 Addressing and Naming

5.4 Data Management

5.5 Context of Things

5.6 Security and Privacy

6 Summary

References

Part IV Security Considerations in IoT Smart Ambient Systems

16 Security in Smart Grids and Smart Spaces for Smooth IoT Deployment in 5G

Abstract

1 5G and the Internet of Things

2 Smart Spaces

3 Smart Grids

4 Security and Privacy

5 Services that Need to Be Secure

5.1 Data Collection

5.2 Control Messages

5.3 Equipment Monitoring

5.4 Notification Transmission

6 Security Requirements

6.1 Confidentiality

6.2 Integrity

6.3 Availability

6.4 Authentication

6.5 Nonrepudiation

6.6 Access Control

7 Security Attacks

7.1 Passive Attacks

7.1.1 Release of Message Contents

7.1.2 Traffic Analysis

7.2 Active Attacks

7.2.1 Denial of Service

7.2.2 Jamming

7.2.3 False Data Injection (FDI)

7.2.4 Masquerade

8 Security Measures and Ongoing Research

8.1 Securing Smart Spaces and Smart Grids

8.2 Ongoing Research

8.2.1 Flocking-Based Model Against DoS Attacks

8.2.2 Warning System Against Malicious Events

8.2.3 Jamming Attack Detection Based on Estimation (JADE)

8.2.4 Smart Tracking Firewall

8.2.5 Cryptographic Keys in the Internet of Things

8.2.6 Real-Time Detection of False Data Injection Scheme

8.2.7 Minimizing Message Delay Under Jamming Conditions

8.2.8 Privacy in Smart Grids Using Aggregated Key Encryption

8.2.9 False Data Injection Detection in Smart Grids

8.2.10 Intrusion Detection in NANs

8.3 Current Issues and Challenges

8.4 Scheme Proposition for Data Retrieval After an FDI Attack

References

Security Challenges in 5G-Based IoT Middleware Systems

1 Introduction

2 5G and the Internet of Things

2.1 5G Technology

2.2 Internet of Things

3 Security in 5G-Based IoT Middleware

3.1 New Threats and Requirements

4 Related Work

5 Security Challenges Toward 5G

5.1 User Privacy and Data Protection

5.2 Big Data Security and Lightweight Approaches

5.3 Devices and Applications Protection

5.4 Communication Channels Protection

5.5 Standard Security Architecture

6 Summary

References

Signal Processing Techniques for Energy Efficiency, Security, and Reliability in the IoT Domain

1 Introduction

2 Compressive Sensing

3 Matrix Completion

4 Secret Key Generation from Channel Measurements

4.1 Key Generation

4.2 Performance Evaluation

5 Packet Loss Mitigation

5.1 Compressive Sensing for the Intra-temporal Correlation

5.2 Matrix Completion for the Inter-spatial Correlation

6 Adaptive Compressive Sensing

6.1 Change Point Method Based on KS Statistic

7 Rate-Adaptive CS Under a CPM Framework

7.1 CS Compression and Decompression

7.2 Measurement Matrix Design

7.3 Sparsity Change Detection and Estimation

7.4 Evaluation

8 A Software Defined Radio Architecture for IoT Applications

8.1 Physical Layer Implementation

8.2 MAC Layer Integration

8.3 An IoT Prototype Application

9 Conclusions

References

IoT Enablers and Their Security and Privacy Issues

1 Introduction

2 IoT Enabler

2.1 Technological Framework

2.2 Data Security Framework

2.3 Legal Framework

3 EPCglobal

3.1 Architecture

3.2 Specifications

3.3 Industry Adoption

3.4 Security Features and Vulnerabilities

3.5 Guidelines/Framework for Managing Data

3.6 Proposed Upgrades

3.7 Advantages and Drawbacks

4 WirelessHART

4.1 Architecture

4.2 Specifications

4.3 Industry Adoption

4.4 Security Features and Vulnerabilities

4.5 Guidelines/Framework for Managing Data

4.6 Proposed Upgrades

4.7 Advantages and Drawbacks

5 Zigbee

5.1 Architecture

5.2 Specifications

5.3 Industry Adoption

5.4 Security Features and Vulnerabilities

5.5 Guidelines/Framework for Managing Data

5.6 Proposed Upgrades

5.7 Advantages and Drawbacks

6 Near Field Communication

6.1 Architecture

6.2 Specifications

6.3 Industry Adoption

6.4 Security Features and Vulnerabilities

6.5 Guidelines/Framework for Managing Data

6.6 Proposed Upgrades

6.7 Advantages and Drawbacks

7 6LoWPAN

7.1 Architecture

7.2 Specifications

7.3 Industry Adoption

7.4 Security Features and Vulnerabilities

7.5 Guidelines/Framework for Managing Data

7.6 Proposed Upgrades

7.7 Advantages and Drawbacks

8 Dash7

8.1 Architecture

8.2 Specifications

8.3 Industry Adoption

8.4 Security Features and Vulnerabilities

8.5 Guidelines/Framework for Managing Data

8.6 Proposed Upgrades

8.7 Advantages and Drawbacks

9 Comparative Analysis

10 Conclusion

References

Part V IoT Systems for 5G Environments

20 Data and Traffic Models in 5G Network

Abstract

1 Introduction

2 State of the Art

3 Experiment Setup

4 Results

5 Conclusion and Future Work Plan

Acknowledgments

References

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Constandinos Mavromoustakis,George Mastorakis,Jordi Mongay Batalla,IoT,5G Mobile Technologies