Cantitate/Preț
Produs

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

Autor Yutao Jiao, Ping Wang, Dusit Niyato
en Limba Engleză Hardback – 27 noi 2021
This book establishes game-theoretical frameworks based on the mechanism design theory and proposes strategy-proof algorithms, to optimally allocate and price the related IoT services, so that the social welfare of IoT ecosystem or the service provider’s revenue can be maximized and the IoT service provision can be sustainable. This book is written by experts based on the recent research results on the interaction between the service providers and users in the IoT system. Since the IoT networks are essentially supported by data, communication, and computing resources, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain networks, and the wireless powered data crowdsourcing services. Researchers, scientists, and engineers in the field of resource allocation and service management for future IoT ecosystem can benefit from the book. As such, this book provides valuable insights and practical methods,especially the novel deep learning-based mechanism that can be considered in the emerging IoT technology.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 77723 lei  6-8 săpt.
  Springer Nature Singapore – 28 noi 2022 77723 lei  6-8 săpt.
Hardback (1) 76068 lei  18-23 zile +6204 lei  7-13 zile
  Springer Nature Singapore – 27 noi 2021 76068 lei  18-23 zile +6204 lei  7-13 zile

Preț: 76068 lei

Preț vechi: 95085 lei
-20% Nou

Puncte Express: 1141

Preț estimativ în valută:
14558 15358$ 12132£

Carte disponibilă

Livrare economică 09-14 decembrie
Livrare express 28 noiembrie-04 decembrie pentru 7203 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811673528
ISBN-10: 9811673527
Pagini: 110
Ilustrații: XIII, 110 p. 34 illus., 32 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Chapter1. Introduction.- Chapter2. Literature Review.- Chapter 3. Profit Maximization Mechanism and Data Management for Data Analytics Services.- Chapter 4. Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks.- Chapter 5. Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks.- Chapter 6. Summary and Future Work.

Notă biografică

Yutao Jiao received the Ph.D. degree in computer science and engineering from Nanyang Technological University, Singapore, in 2020. He is currently an assistant professor in the College of Communication Engineering, Army Engineering University of PLA, Nanjing, China. His research interests include algorithmic mechanism design, blockchain, distributed machine learning, as well as mobile crowdsourcing in the Internet of Things.

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.

Textul de pe ultima copertă

This book establishes game-theoretical frameworks based on the mechanism design theory and proposes strategy-proof algorithms, to optimally allocate and price the related IoT services, so that the social welfare of IoT ecosystem or the service provider’s revenue can be maximized and the IoT service provision can be sustainable. This book is written by experts based on the recent research results on the interaction between the service providers and users in the IoT system. Since the IoT networks are essentially supported by data, communication, and computing resources, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain networks, and the wireless powered data crowdsourcing services. Researchers, scientists, and engineers in the field of resource allocation and service management for future IoT ecosystem can benefit from the book. As such, this book provides valuable insights and practical methods,especially the novel deep learning-based mechanism that can be considered in the emerging IoT technology.

Caracteristici

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