Mobile Crowdsourcing

Lieferzeit: Lieferbar innerhalb 14 Tagen

213,99 

From Theory to Practice, Wireless Networks

ISBN: 3031323963
ISBN 13: 9783031323966
Herausgeber: Jie Wu/En Wang
Verlag: Springer Verlag GmbH
Umfang: xii, 457 S., 9 s/w Illustr., 126 farbige Illustr., 457 p. 135 illus., 126 illus. in color.
Erscheinungsdatum: 18.07.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

Exposes readers to the technical challenges in building a mobile crowdsourcing system17 chapters in total complements several other topic related books that have recently emergedEach chapter starts with an introduction and overview of general crowdsourcing and mobile crowdsourcing

Artikelnummer: 9070731 Kategorie:

Beschreibung

This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It presents state-of-the-art content and provides an in-depth overview of the basic background in this related field. Crowdsourcing involves a large crowd of participants working together to contribute or produce goods and services for the society. The early 21st century applications of crowdsourcing can be called crowdsourcing 1.0, which includes businesses using crowdsourcing to accomplish various tasks, such as the ability to offload peak demand, access cheap labor, generate better results in a timely matter, and reach a wider array of talent outside the organization. Mobile crowdsensing can be described as an extension of crowdsourcing to the mobile network to combine the idea of crowdsourcing with the sensing capacity of mobile devices. As a promising paradigm for completing complex sensing and computation tasks, mobile crowdsensing serves the vital purpose of exploiting the ubiquitous smart devices carried by mobile users to make conscious or unconscious collaboration through mobile networks. Considering that we are in the era of mobile internet, mobile crowdsensing is developing rapidly and has great advantages in deployment and maintenance, sensing range and granularity, reusability, and other aspects. Due to the benefits of using mobile crowdsensing, many emergent applications are now available for individuals, business enterprises, and governments. In addition, many new techniques have been developed and are being adopted. This book will be of value to researchers and students targeting this topic as a reference book. Practitioners, government officials, business organizations and even customers -- working, participating or those interested in fields related to crowdsourcing will also want to purchase this book.

Autorenporträt

Jie Wu: He is the Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing. He is a Fellow of the AAAS and the IEEE. His research interests focus on Mobile Computing and Wireless Networks, Cloud Computing, and Applied Machine Learning. En Wang: He is a Full Professor in the Department of Computer Science and Technology at Jilin University. His current research focuses on Mobile Computing, Crowd Intelligence, and Data Mining.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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