SpringerBriefs in Computer Science Incentive Mechanism for Mobile Crowdsensing - Youqi Li Fan Li Song Yang Chuan Zhang Kartoniert (TB)

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 mobile users to collectively perform sensing tasks which largely collect data about a wide range of human activities and the surrounding environment. However users suffer from resource consumption such as battery processing power and storage which discourages users' participation. To ensure the p articipation rate it is necessary to employ an incentive mechanism to compensate users' costs such that users are willing to take part in crowdsensing. This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1 the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then in Chapter 2 3 4 and 5 the authors propose a long-term incentive mechanism a fair incentive mechanism a collaborative incentive mechanism and a coopetition-aware incentive mechanism for MCS respectively. Finally Chapter 6 summarizes this book and point out the future directions. This book is of particular interest to the readers and researchers in the field of IoT research especially in the interdisciplinary field of network economics and IoT.