國立虎尾科技大學 |

Mobile crowdsensing and remote sensing in smart cities

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mobile crowdsensing and remote sensing in smart cities/ edited by Chaker Abdelaziz Kerrache ... [et al.].
其他作者:	Kerrache, Chaker Abdelaziz.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	viii, 202 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Wireless and Mobile Communication. -
電子資源:	https://doi.org/10.1007/978-3-031-72732-0
ISBN:	9783031727320

Mobile crowdsensing and remote sensing in smart cities
Mobile crowdsensing and remote sensing in smart cities[electronic resource] /edited by Chaker Abdelaziz Kerrache ... [et al.]. - Cham :Springer Nature Switzerland :2025. - viii, 202 p. :ill. (chiefly color), digital ;24 cm. - Internet of Things, technology. Communications and computing,2199-1081. - Internet of Things, technology.Communications and computing..

Chapter 1: Introduction -- Mobile Crowdsensing and Remote Sensing in Smart Cities -- Part 1: IoT for sustainability & life-quality -- Chapter 2: The Role of IoT in Environmental Sustainability: Advancements and Applications for Smart Cities -- Chapter 3: Sensors and Metaverse-Digital Twin Integration: A Path for Sustainable Smarter Cities -- Chapter 4: Bringing the Green into the Screen: Remote Sensing and Smart Green Governance in Urban Forest Management -- Chapter 5: Advancements in 5G-IoT Technology based Healthcare: A Focus on Healthcare Monitoring for Smart Cities -- Part 2: Smart cities' applications based on crowdsensing and remote sensing -- Chapter 6: From Mobile Crowdsensing to Contact Tracing -- Chapter 7: Deep Data Inference on Sparse Mobile Crowdsensing -- Chapter 8: Crowd Management using Mobile Crowdsourcing and Remote Sensing during the COVID-19 Pandemic -- Chapter 9: A Trusted Crowdsensing Approach for Governing Smart Healthcare using Blockchain Technique -- Chapter 10: Advancing Smart City Infrastructure with V2X Vehicle-Road Collaboration - Architectural and Algorithmic Innovations -- Chapter 11: Safety in the Sky: Cloud-Powered Smart Security for Vehicular Crowdsensing.

This book focuses on the benefits of mobile crowdsensing (MCS) and remote sensing applications in smart cities, particularly in creating an intelligent context-aware environment, especially in cases of infectious diseases that cause widespread loss of life. The authors first introduce the concepts of MCS and remote sensing in smart cities. The authors go on to discuss topics such as power of mobile edge and cloud computing for data analytics; strategies to effectively manage and mitigate data redundancy; crowd management during the Covid-19 pandemic; techniques to detect communities in complex data through social sensing; and much more. The authors also aim to show that the efficient implementation of MCS and remote sensing in various applications comes with several challenging issues that need to be addressed, including data quality and reliability, security and privacy, and ethical considerations. Focuses on the benefits of mobile crowdsensing (MCS) and remote sensing applications in smart cities; Covers technical details of remote sensing starting from the communication support to the application; Includes overcoming challenges including data quality and reliability, security and privacy, and ethical considerations.

ISBN: 9783031727320

Standard No.: 10.1007/978-3-031-72732-0doiSubjects--Topical Terms:

1207058
Wireless and Mobile Communication.

LC Class. No.: TD159.4

Dewey Class. No.: 307.1416

Mobile crowdsensing and remote sensing in smart cities
LDR:03542nam a2200337 a 4500 001 1160471
003 DE-He213
005 20241228115252.0
006 m o d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031727320 $q (electronic bk.)
020 $a 9783031727313 $q (paper)
024 7 $a 10.1007/978-3-031-72732-0 $2 doi
035 $a 978-3-031-72732-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TD159.4
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 307.1416 $2 23
090 $a TD159.4 $b .M687 2025
245 0 0 $a Mobile crowdsensing and remote sensing in smart cities $h [electronic resource] / $c edited by Chaker Abdelaziz Kerrache ... [et al.].
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a viii, 202 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Internet of Things, technology. Communications and computing, $x 2199-1081
505 0 $a Chapter 1: Introduction -- Mobile Crowdsensing and Remote Sensing in Smart Cities -- Part 1: IoT for sustainability & life-quality -- Chapter 2: The Role of IoT in Environmental Sustainability: Advancements and Applications for Smart Cities -- Chapter 3: Sensors and Metaverse-Digital Twin Integration: A Path for Sustainable Smarter Cities -- Chapter 4: Bringing the Green into the Screen: Remote Sensing and Smart Green Governance in Urban Forest Management -- Chapter 5: Advancements in 5G-IoT Technology based Healthcare: A Focus on Healthcare Monitoring for Smart Cities -- Part 2: Smart cities' applications based on crowdsensing and remote sensing -- Chapter 6: From Mobile Crowdsensing to Contact Tracing -- Chapter 7: Deep Data Inference on Sparse Mobile Crowdsensing -- Chapter 8: Crowd Management using Mobile Crowdsourcing and Remote Sensing during the COVID-19 Pandemic -- Chapter 9: A Trusted Crowdsensing Approach for Governing Smart Healthcare using Blockchain Technique -- Chapter 10: Advancing Smart City Infrastructure with V2X Vehicle-Road Collaboration - Architectural and Algorithmic Innovations -- Chapter 11: Safety in the Sky: Cloud-Powered Smart Security for Vehicular Crowdsensing.
520 $a This book focuses on the benefits of mobile crowdsensing (MCS) and remote sensing applications in smart cities, particularly in creating an intelligent context-aware environment, especially in cases of infectious diseases that cause widespread loss of life. The authors first introduce the concepts of MCS and remote sensing in smart cities. The authors go on to discuss topics such as power of mobile edge and cloud computing for data analytics; strategies to effectively manage and mitigate data redundancy; crowd management during the Covid-19 pandemic; techniques to detect communities in complex data through social sensing; and much more. The authors also aim to show that the efficient implementation of MCS and remote sensing in various applications comes with several challenging issues that need to be addressed, including data quality and reliability, security and privacy, and ethical considerations. Focuses on the benefits of mobile crowdsensing (MCS) and remote sensing applications in smart cities; Covers technical details of remote sensing starting from the communication support to the application; Includes overcoming challenges including data quality and reliability, security and privacy, and ethical considerations.
650 2 4 $a Wireless and Mobile Communication. $3 1207058
650 2 4 $a Internet of Things. $3 1048478
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Internet of things. $3 1023130
650 0 $a Mobile computing. $3 562918
650 0 $a Sensor networks. $3 558699
650 0 $a Smart cities $x Remote sensing. $3 1487523
700 1 $a Kerrache, Chaker Abdelaziz. $3 1417439
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Internet of Things, technology. $p Communications and computing. $3 1487522
856 4 0 $u https://doi.org/10.1007/978-3-031-72732-0
950 $a Engineering (SpringerNature-11647)