Algorithmic Mechanism Design for Internet of Things Services Market: Design Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem

Preface
Contents
List of Figures
List of Tables
1 Introduction
	1.1 Background
	1.2 IoT Services Market: Motivations and Scopes
		1.2.1 Big Data Analytics Services Market
		1.2.2 Cloud/Fog Computing Services Market for Blockchain Networks
		1.2.3 Wireless Powered Spatial Crowdsourcing Services Market
	1.3 Organization, Contributions and the Connection Among Research Issues
	References
2 Literature Review
	2.1 Big Data Services Trading
	2.2 Applications and Economics of Blockchain Networks
	2.3 Incentive Mechanisms for Spatial Crowdsourcing and Wireless Power Transfer Sevices Market
	References
3 Profit Maximization Mechanism and Data Management for Data Analytics Services
	3.1 Data Analytics Services: System Model
		3.1.1 Data Collection
		3.1.2 Data Analytics Services
		3.1.3 Data Valuation
		3.1.4 Valuation Distribution
	3.2 Optimal Pricing Mechanism for Non-perishable Data Analytics Services
		3.2.1 Gross Profit Maximization
		3.2.2 Optimal Sale Price
		3.2.3 Optimal Size of Raw Data Bought from Data Vendor
	3.3 Profit Maximization in Perishable Data Analytics Services
		3.3.1 Perishability of Data
		3.3.2 Business Model for Sustainable Profit
		3.3.3 Optimal External Data Update Interval
	3.4 Experimental Results: Taxi Trip Time Prediction and Face Verification
		3.4.1 Experiment Setup
		3.4.2 Verification for QoM Function
		3.4.3 Verification for Valuation Distribution
		3.4.4 Verification for Data Value Decay
		3.4.5 Numerical Results and Strategies for Decision Making
	3.5 Summary
	References
4 Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks
	4.1 System Model: Blockchain Mining and Auction Based Market Model
		4.1.1 Cloud/Fog Computing Resource Trading
		4.1.2 Blockchain Mining with Cloud/Fog Computing Service
		4.1.3 Business Ecosystem for Blockchain-Based DApps
		4.1.4 Miner\'s Valuation on Cloud/Fog Computing Resources
		4.1.5 Social Welfare Maximization
		4.1.6 Example Application: Mobile Data Crowdsourcing
	4.2 Auction-Based Mechanism for Constant-Demand Miners
	4.3 Auction-Based Mechanisms for Multi-demand Miners
		4.3.1 Social Welfare Maximization for the Blockchain Network
		4.3.2 Multi-demand Miners in Blockchain Networks (MDB) Auction
	4.4 Numerical Results and Performance Evaluation
		4.4.1 Verification for Hash Power Function and Network Effects Function
		4.4.2 Numerical Results
	4.5 Summary
	References
5 Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks
	5.1 System Model: Wireless Powered Spatial Crowdsourcing Market
		5.1.1 Power Cost Model
		5.1.2 Utility Function in the Wireless Powered Spatial Crowdsourcing System
		5.1.3 The Procedure of Wireless Powered Spatial Crowdsourcing
	5.2 Task and Wireless Transferred Power Allocation Mechanism
	5.3 Mobile BS Deployment Mechanisms in Data Crowdsourcing Phase
		5.3.1 Conventional Strategyproof Mechanism Under Bayesian Settings
		5.3.2 Deep Learning Based Mobile BS Deployment Mechanism
	5.4 Simulation Results and Discussions
	5.5 Conclusion
	References
6 Conclusions and Future Work
	6.1 Conclusions
	6.2 Future Research Directions
		6.2.1 Market Model for Novel Machine Learning Services
		6.2.2 Wireless Communication Resources Allocation in Blockchain Networks
		6.2.3 Automated Mechanism Design for Real-Time Mobile BS Deployment