Mobile Crowd Sensing: Incentive Mechanism Design (eBook)
X, 52 Seiten
Springer International Publishing (Verlag)
978-3-030-01024-9 (ISBN)
This SpringerBrief investigates and reviews the development and various applications of mobile crowd sensing (MCS). With the miniaturization of sensors and the popularity of smart mobile devices, MCS becomes a promising solution to efficiently collect different types of information, such as traffic conditions, air quality, temperature and more, which is covered in this brief. The features, novelty, and applications of MCS are elaborated in detail in this brief. In addition, the basic knowledge about auction theory and incentive mechanism design is introduced.
Incentive mechanism design plays a key role in the success of MCS. With an efficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough high quality sensing data can be collected. Two types of incentive mechanisms with different system models are introduced in this brief. One is the reputation-aware incentive mechanism, and another is the social-aware incentive mechanism.
This SpringerBrief covers the significance and the impacts of both reputation and social relationship of smartphone users (SUs) in MCS and presents extensive simulation results to demonstrate the good performance of the proposed incentive mechanisms compared with some existing counterparts.
The target audience for this SpringerBrief is researchers and engineers in the area of wireless communication and networking, especially those who are interested in the mobile crowd sensing or incentive mechanism design. Meanwhile, it is also intended as a reference guide for advanced level students in the area of wireless communications and computer networks.Preface 7
Contents 9
1 Introduction to Mobile Crowd Sensing 11
1.1 Development of Mobile Crowd Sensing 11
1.2 Features of Mobile Crowd Sensing 13
1.3 Applications of Mobile Crowd Sensing 14
1.3.1 Transportation 14
1.3.2 Environment Monitoring 15
1.3.3 Health and Well-Being 15
1.3.4 Mobile Social Recommendation 16
1.4 Research Challenges 16
References 17
2 Auction Theory and Incentive Mechanism Design 20
2.1 Auction Theory 20
2.2 Incentive Mechanism Design 21
2.3 Applications of Auction in Incentive Mechanism Design 22
2.3.1 Reverse Auction Based Mechanisms 24
2.3.2 Double Auction Based Mechanisms 25
2.3.3 Other Truthful Mechanisms 26
References 26
3 Reputation-Aware Incentive Mechanism Design 28
3.1 An Important Factor: Reputation 28
3.2 System Model and Problem Formulation 29
3.2.1 System Model 29
3.2.2 Problem Formulation 30
3.3 Reputation-Aware Inventive Mechanism 31
3.3.1 Winner Selection Rule 31
3.3.2 Payment Rule 32
3.3.3 Proof of Properties 33
3.3.4 A Heuristic Algorithm 35
3.4 Performance Evaluation 37
3.4.1 Simulation Setup 37
3.4.2 Truthfulness 38
3.4.3 Weighted Social Welfare 38
3.4.4 Average Reputation 41
References 42
4 Social-Aware Incentive Mechanism Design 43
4.1 An Important Factor: Social Relationship 43
4.2 System Model and Problem Formulation 44
4.2.1 System Model 44
4.2.2 Auction Problem Formulation 45
4.3 Social-Aware Incentive Mechanism 46
4.3.1 Incentive Mechanism SAIM 47
4.3.2 Winner Selection Rule 48
4.3.3 Payment Rule 49
4.3.4 Proof of Properties 50
4.4 Performance Evaluation 53
4.4.1 Truthfulness 53
4.4.2 Social Utility 54
4.4.3 Social Effect 56
Reference 57
5 Conclusions 58
5.1 Summary 58
5.2 Future Work 59
Erscheint lt. Verlag | 24.10.2018 |
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Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering |
Zusatzinfo | X, 52 p. 16 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Technik ► Nachrichtentechnik | |
Schlagworte | Auction Theory • data collection • Incentive Mechanism Design • Individual Rationality • internet of things • mobile crowd sensing (MCS) • mobile users • Reputation • Service Provider • Smart City • Social Relationship • Social Welfare • Truthful • Utility |
ISBN-10 | 3-030-01024-4 / 3030010244 |
ISBN-13 | 978-3-030-01024-9 / 9783030010249 |
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