Resource Management for On-Demand Mission-Critical Internet of Things Applications (IEEE Press)

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