Resource management for on-demand mission-critical internet of things applications / Junaid Farooq, Quanyan Zhu.

Format:

Book

Author/Creator:

Farooq, Junaid, author.

Zhu, Quanyan, author.

Series:

IEEE Press

Language:

English

Subjects (All):

Internet of things.

Physical Description:

1 online resource (227 pages)

Place of Publication:

Hoboken, New Jersey : IEEE Press : Wiley, [2021]

Summary:

"The Internet of things (IoT) is an emerging paradigm that allows the interconnection of devices, which are equipped with electronic sensors and actuators. There is a plethora of resources, at each stage of the IoT ecosystem, which need to be managed effectively to cater for the demands of potentially mission-critical (MC) applications. Service requests often appear randomly over time and space with varying intensity. Resource provisioning decisions need to be made strategically in real-time, particularly when there is incomplete information about the time, location, and intensity of future requests. Resource management has traditionally been focused on dealing with objectives such as efficiency, capacity, throughput, etc., in mind. However, often the underlying incentives and economic aspects have been ignored"-- Provided by publisher.

Contents:

Cover

Title Page

Copyright

Contents

Preface

Acknowledgments

Acronyms

Part I Introduction

Chapter 1 Internet of Things‐Enabled Systems and Infrastructure

1.1 Cyber-Physical Realm of IoT

1.2 IoT in Mission‐Critical Applications

1.3 Overview of the Book

1.3.1 Main Topics

1.3.1.1 Dynamic Reservation of Wireless Spectrum Resources

1.3.1.2 Dynamic Cross‐Layer Connectivity Using Aerial Networks

1.3.1.3 Dynamic Processes Over Multiplex Spatial Networks and Reconfigurable Design

1.3.1.4 Sequential Resource Allocation Under Spatio‐Temporal Uncertainties

1.3.2 Notations

Chapter 2 Resource Management in IoT‐Enabled Interdependent Infrastructure

2.1 System Complexity and Scale

2.2 Network Geometry and Dynamics

2.3 On‐Demand MC‐IoT Services and Decision Avenues

2.4 Performance Metrics

2.5 Overview of Scientific Methodologies

Part II Design Challenges in MC‐IoT

Chapter 3 Wireless Connectivity Challenges

3.1 Spectrum Scarcity and Reservation Based Access

3.2 Connectivity in Remote Environments

3.3 IoT Networks in Adversarial Environments

Chapter 4 Resource and Service Provisioning Challenges

4.1 Efficient Allocation of Cloud Computing Resources

4.2 Dynamic Pricing in the Cloud

4.3 Spatio‐Temporal Urban Service Provisioning

Part III Wireless Connectivity Mechanisms for MC‐IoT

Chapter 5 Reservation‐Based Spectrum Access Contracts

5.1 Reservation of Time-Frequency Blocks in the Spectrum

5.1.1 Network Model

5.1.2 Utility of Spectrum Reservation

5.2 Dynamic Contract Formulation

5.2.1 Objective of Network Operator

5.2.2 Spectrum Reservation Contract

5.2.2.1 Operator Profitability

5.2.2.2 IC and IR Constraints

5.2.3 Optimal Contracting Problem

5.2.4 Solution to the Optimization Problem

5.3 Mission‐Oriented Pricing and Refund Policies.

5.4 Summary and Conclusion

Chapter 6 Resilient Connectivity of IoT Using Aerial Networks

6.1 Connectivity in the Absence of Backhaul Networks

6.2 Aerial Base Station Modeling

6.3 Dynamic Coverage and Connectivity Mechanism

6.3.1 MAP-MSD Matching

6.3.2 MAP Dynamics and Objective

6.3.3 Controller Design

6.3.3.1 Attractive and Repulsive Function

6.3.3.2 Velocity Consensus Function

6.3.4 Individual Goal Function

6.3.5 Cluster Centers

6.4 Performance Evaluation and Simulation Results

6.4.1 Results and Discussion

6.4.1.1 Simulation Parameters

6.4.1.2 Resilience

6.4.1.3 Comparison

6.5 Summary and Conclusion

Part IV Secure Network Design Mechanisms

Chapter 7 Wireless IoT Network Design in Adversarial Environments

7.1 Adversarial Network Scenarios

7.2 Modeling Device Capabilities and Network Heterogeneity

7.2.1 Network Geometry

7.2.2 Network Connectivity

7.2.2.1 Intra‐layer Connectivity

7.2.2.2 Network‐wide Connectivity

7.3 Information Dissemination Under Attacks

7.3.1 Information Dynamics

7.3.1.1 Single Message Propagation

7.3.1.2 Multiple Message Propagation

7.3.2 Steady State Analysis

7.4 Mission‐Specific Network Optimization

7.4.1 Equilibrium Solution

7.4.2 Secure and Reconfigurable Network Design

7.5 Simulation Results and Validation

7.5.1 Mission Scenarios

7.5.1.1 Intelligence

7.5.1.2 Encounter Battle

7.6 Summary and Conclusion

Chapter 8 Network Defense Mechanisms Against Malware Infiltration

8.1 Malware Infiltration and Botnets

8.1.1 Network Model

8.1.2 Threat Model

8.2 Propagation Modeling and Analysis

8.2.1 Modeling of Malware and Information Evolution

8.2.2 State Space Representation and Dynamics

8.2.3 Analysis of Equilibrium State

8.3 Patching Mechanism for Network Defense

8.3.1 Simulation Results.

8.3.2 Simulation and Validation

8.4 Summary and Conclusion

Part V Resource Provisioning Mechanisms

Chapter 9 Revenue Maximizing Cloud Resource Allocation

9.1 Cloud Service Provider Resource Allocation Problem

9.2 Allocation and Pricing Rule

9.3 Dynamic Revenue Maximization

9.3.1 Adaptive and Resilient Allocation and Pricing Policy

9.4 Numerical Results and Discussions

9.5 Summary and Conclusion

Chapter 10 Dynamic Pricing of Fog‐Enabled MC‐IoT Applications

10.1 Edge Computing and Delay Modeling

10.2 Allocation Efficiency and Quality of Experience

10.2.1 Allocation Policy

10.2.2 Pricing Policy

10.3 Optimal Allocation and Pricing Rules

10.3.1 Single VMI Case

10.3.2 Multiple VMI Case

10.3.3 Expected Revenue

10.3.4 Implementation of Dynamic VMI Allocation and Pricing

10.4 Numerical Experiments and Discussion

10.4.1 Experiment Setup

10.4.2 Simulation Results

10.4.3 Comparison with Other Approaches

10.5 Summary and Conclusion

Chapter 11 Resource Provisioning to Spatio‐Temporal Urban Services

11.1 Spatio‐Temporal Modeling of Urban Service Requests

11.1.1 Characterization of Service Requests

11.1.2 Utility of Resource Allocation

11.1.3 Problem Definition

11.2 Optimal Dynamic Allocation Mechanism

11.2.1 Dynamic Programming Solution

11.2.2 Computation and Implementation

11.3 Numerical Results and Discussion

11.3.1 Special Cases

11.3.1.1 Power Law Utility

11.3.1.2 Exponential Utility

11.3.2 Performance Evaluation and Comparison

11.4 Summary and Conclusions

Part VI Conclusion

Chapter 12 Challenges and Opportunities in the IoT Space

12.1 Broader Insights and Future Directions

12.1.1 Distributed Cross‐Layer Intelligence for Mission‐Critical IoT Services

12.1.1.1 Secure and Resilient Networking for Massive IoT Networks.

12.1.1.2 Autonomic Networked CPS: From Military to Civilian Applications

12.1.1.3 Strategic Resource Provisioning for Mission‐Critical IoT Services

12.2 Future Research Directions

12.2.1 Distributed Learning and Data Fusion for Security and Resilience in IoT‐Driven Urban Applications

12.2.1.1 Data‐Driven Learning and Decision‐Making for Smart City Service Provisioning

12.2.1.2 Market Design for On‐Demand and Managed IoT‐Enabled Urban Services

12.2.1.3 Proactive Resiliency Planning and Learning for Disaster Management in Cities

12.2.2 Supply Chain Security and Resilience of IoT

12.3 Concluding Remarks

Bibliography

Index

EULA.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781119716129

1119716128

9781119716112

111971611X

9781119716105

1119716101