Overview
- Proposes novel and effective models to capture the interactions in Internet of Things services market
- Provides meaningful insights helping service providers develop rational and incentive compatible trading mechanisms
- Offers the in-depth mechanism design method, including the deep learning-based approach, for services networks
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Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Ping Wang (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from University of Waterloo, Canada, in 2008. Currently, she is an associate professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Her current research interests include resource allocation in multimedia wireless networks, cloud computing, and smart grid. She was a co-recipient of the Best Paper Award from IEEE Wireless Communications and Networking Conference (WCNC) 2012 and IEEE International Conference on Communications (ICC) 2007.
Dusit Niyato (Fellow, IEEE) received the B.E. degree from the King Mongkuk’s Institute of Technology Ladkrabang, Thailand, in 1999, and the Ph.D. degree in electrical and computer engineering from the University of Manitoba, Canada, in 2008. He is currently a professor in the School of Computer Science and Engineering and the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. He has published more than 380 technical papers in the area of wireless and mobile networking and is an inventor of four US and German patents. He has authored four books, including “Game Theory in Wireless and Communication Networks: Theory, Models, and Applications” (Cambridge University Press). He won the Best Young Researcher Award of IEEE Communications Society Asia Pacific and the 2011 IEEE Communications Society Fred W. Ellersick Prize Paper Award. He was named the 2017, 2018, and 2019 highly cited researcherin computer science. He is currently serving as a senior editor of IEEE WIRELESS COMMUNICATIONS LETTER, an area editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (Radio Management and Multiple Access) and the IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (Network and Service Management and Green Communication), and an editor of IEEE TRANSACTIONS ON COMMUNICATIONS, an associate editor of the IEEE TRANSACTIONS ON MOBILE COMPUTING, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, and the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING. He was a guest editor of the IEEE JOURNAL ON SELECTED AREAS ON COMMUNICATIONS. He was a distinguished lecturer of the IEEE Communications Society from 2016 to 2017.
Bibliographic Information
Book Title: Algorithmic Mechanism Design for Internet of Things Services Market
Book Subtitle: Design Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem
Authors: Yutao Jiao, Ping Wang, Dusit Niyato
DOI: https://doi.org/10.1007/978-981-16-7353-5
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-7352-8Published: 27 November 2021
Softcover ISBN: 978-981-16-7355-9Published: 28 November 2022
eBook ISBN: 978-981-16-7353-5Published: 26 November 2021
Edition Number: 1
Number of Pages: XIII, 110
Number of Illustrations: 2 b/w illustrations, 32 illustrations in colour