Results 41 to 50 of about 1,427,497 (206)

Edge Computing Architecture for Mobile Crowdsensing

open access: yesIEEE Access, 2018
Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic   +2 more
openaire   +3 more sources

Crowdsensing and proximity services for impaired mobility [PDF]

open access: yes2016 IEEE Symposium on Computers and Communication (ISCC), 2016
New sensors embedded into modern smartphones has led into a new data collection prospective in which people directly collect all the sensitive data. This feature has found different applications, in particular in the Smart Cities area, in order to establish dynamic communications between the citizens and the city government.
Cortellazzi, Jacopo   +5 more
openaire   +2 more sources

Cooperative Computing for Mobile Crowdsensing: Design and Optimization

open access: yes, 2023
With the increasing number of mobile devices, mobile crowdsensing (MCS) has garnered significant attention in research. However, computing infrastructures such as edge/cloud nodes, which are necessary for processing sensor data, are not always readily ...
Xie, X   +4 more
core   +1 more source

Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service [PDF]

open access: yes, 2014
This paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research.
Chang, Victor
core   +1 more source

A Novel Methodology for designing Policies in Mobile Crowdsensing Systems

open access: yes, 2020
Mobile crowdsensing is a people-centric sensing system based on users’ contributions and incentive mechanisms aim at stimulating them. In our work, we have rethought the design of incentive mechanisms through a game-theoretic methodology.
Attanasio B.   +5 more
core   +1 more source

Development of User-Participatory Crowdsensing System for Improved Privacy Preservation

open access: yesFuture Internet, 2020
Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is ...
Mihui Kim, Junhyeok Yun
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, Volume 1, Issue 2, September 2026.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Data Privacy and Cybersecurity in Mobile Crowdsensing

open access: yes
Mobile crowdsensing (MCS) has emerged as a pivotal element in contemporary communication technology, witnessing substantial growth recently. The advent of 5G, the Internet of Things (IoT), and edge computing has propelled MCS researchers to achieve ...
Weiting Zhang, Tong Wu, Chuan Zhang
core   +2 more sources

Green CrowdSensing With Comprehensive Reputation Awareness and Predictive Device-Application Matching Using a New Real-Life Dataset

open access: yesIEEE Access, 2020
Mobile CrowdSensing (MCS) has emerged as a valuable framework for large scale mapping of phenomena of interest, thanks to the ever-growing advances and pervasiveness of sensor-rich mobile devices.
Maggie Ezzat Gaber Gendy   +2 more
doaj   +1 more source

A Deep Reinforcement Learning Methodology to Balance Geoprivacy and Local Search Utility in Location‐Based Services

open access: yesTransactions in GIS, Volume 30, Issue 5, August 2026.
ABSTRACT The research work addresses the need to preserve the user's privacy in urban contexts without relying on pure contemporary approaches—like k‐anonymity or stochastic noise. We present a privacy preserving methodology that adapts to varying spatial contexts of users.
Omid Reza Abbasi   +2 more
wiley   +1 more source

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