This book constitutes the refereed post-conference proceedings of the 11th International Conference on Mobile Networks and Management, MONAMI 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic.The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Mobile Networks and Management, MONAMI 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.

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.

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.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Mobile Networks and Management, MONAMI 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic.The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Mobile Networks and Management, MONAMI 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.

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.

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.