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Incentive Mechanism for Mobile Crowdsensing A Game-theoretic Approach

Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people’s daily lives. These ubiquitous devices provide an opportunity to harness the wisdom of crowds by recruiting mo...

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Bibliographic Details
Main Authors: Li, Youqi, Li, Fan (Author), Yang, Song (Author), Zhang, Chuan (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Series:SpringerBriefs in Computer Science
Subjects:
Mathematical Statistics
Mobile Computing
Computer Science
Computer Science / Mathematics
Probability And Statistics In Computer Science
Algorithms
Data Mining
Design And Analysis Of Algorithms
Theory And Algorithms For Application Domains
Cyber-physical Systems
Data Mining And Knowledge Discovery
Cooperating Objects (computer Systems)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1: A Brief Introduction
  • Chapter 2: Long-term Incentive Mechanism for Mobile Crowdsensing
  • Chapter 3: Fair Incentive Mechanism for Mobile Crowdsensing
  • Chapter 4: Collaborative Incentive Mechanism for Mobile Crowdsensing
  • Chapter 5: Coopetition-aware Incentive Mechanism for Mobile Crowdsensing
  • Chapter 6: Summary

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