Mobile Crowdsensing and Remote Sensing in Smart Cities

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Éditeur :

Springer


Collection :

Internet of Things

Paru le : 2024-12-27

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Description

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.
Pages
202 pages
Collection
Internet of Things
Parution
2024-12-27
Marque
Springer
EAN papier
9783031727313
EAN PDF
9783031727320

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
69386 Ko
Prix
168,79 €
EAN EPUB
9783031727320

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
26429 Ko
Prix
168,79 €