國立高雄大學圖資館 |

Mobile crowdsourcingfrom theory to practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mobile crowdsourcingedited by Jie Wu, En Wang.
其他題名:	from theory to practice /
其他作者:	Wu, Jie.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xii, 457 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Crowdsourcing.
電子資源:	https://doi.org/10.1007/978-3-031-32397-3
ISBN:	9783031323973$q(electronic bk.)

Mobile crowdsourcingfrom theory to practice /
Mobile crowdsourcingfrom theory to practice /[electronic resource] :edited by Jie Wu, En Wang. - Cham :Springer International Publishing :2023. - xii, 457 p. :ill., digital ;24 cm. - Wireless networks,2366-1445. - Wireless networks..

Crowdsourcing as a Future Collaborative Computing Paradigm -- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications -- Unknown User Recruitment in Mobile Crowdsourcing -- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing -- Incentive mechanism design for mobile crowdsourcing without verification -- Stable Worker-Task Assignment in Mobile Crowdsensing Applications -- Spatio temporal Task Allocation in Mobile Crowdsensing -- Joint Data Collection and Truth Inference in Spatial Crowdsourcing -- Cost-quality Aware Compressive Mobile Crowdsensing -- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models -- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks -- Traceable and Secure Data Sharing in Mobile Crowdsensing -- User Privacy Protection in MCS: Threats, Solutions and Open Issues -- Crowdsourcing Through TinyML as aWay to Engage End-users in IoT Solutions -- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence -- Crowdsourcing Applications and Techniques in Computer Vision -- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.

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.

ISBN: 9783031323973$q(electronic bk.)

Standard No.: 10.1007/978-3-031-32397-3doiSubjects--Topical Terms:

824570
Crowdsourcing.

LC Class. No.: QA76.9.H84

Dewey Class. No.: 004.678

Mobile crowdsourcingfrom theory to practice /
LDR:04188nmm a2200337 a 4500 001 648334
003 DE-He213
005 20230717004055.0
006 m d
007 cr nn 008maaau
008 240116s2023 sz s 0 eng d
020 $a 9783031323973$q(electronic bk.)
020 $a 9783031323966$q(paper)
024 7 $a 10.1007/978-3-031-32397-3 $2 doi
035 $a 978-3-031-32397-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.H84
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004.678 $2 23
090 $a QA76.9.H84 $b M687 2023
245 0 0 $a Mobile crowdsourcing $h [electronic resource] : $b from theory to practice / $c edited by Jie Wu, En Wang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xii, 457 p. : $b ill., digital ; $c 24 cm.
490 1 $a Wireless networks, $x 2366-1445
505 0 $a Crowdsourcing as a Future Collaborative Computing Paradigm -- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications -- Unknown User Recruitment in Mobile Crowdsourcing -- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing -- Incentive mechanism design for mobile crowdsourcing without verification -- Stable Worker-Task Assignment in Mobile Crowdsensing Applications -- Spatio temporal Task Allocation in Mobile Crowdsensing -- Joint Data Collection and Truth Inference in Spatial Crowdsourcing -- Cost-quality Aware Compressive Mobile Crowdsensing -- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models -- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks -- Traceable and Secure Data Sharing in Mobile Crowdsensing -- User Privacy Protection in MCS: Threats, Solutions and Open Issues -- Crowdsourcing Through TinyML as aWay to Engage End-users in IoT Solutions -- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence -- Crowdsourcing Applications and Techniques in Computer Vision -- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.
520 $a 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.
650 0 $a Crowdsourcing. $3 824570
650 0 $a Mobile computing. $3 185560
650 1 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Wireless and Mobile Communication. $3 820685
650 2 4 $a Mobile and Network Security. $3 825732
700 1 $a Wu, Jie. $3 779399
700 1 $a Wang, En. $3 958078
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Wireless networks. $3 731203
856 4 0 $u https://doi.org/10.1007/978-3-031-32397-3
950 $a Computer Science (SpringerNature-11645)