Results 71 to 80 of about 6,748 (202)

Improving Both Quantity and Quality: Incentive Mechanism for Social Mobile Crowdsensing Architecture

IEEE Access, 2018
Mobile crowdsensing has emerged as an efficient paradigm for performing large-scale sensing tasks. Improving both the quantity and quality of users is still the pivotal problem for mobile crowdsensing system.
Jia Xu, Weiwei Bao, Huayue Gu, Lijie Xu, Guoping Jiang   +4 more
doaj   +1 more source

Sustainable Spectrum Crowdsensing

2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Spectrum crowdsensing is a paradigm where participants upload their collected spectrum data to the cloud for extracting analytics. First movers like Microsoft Spectrum Observatory and Electrosense, though with support from leading industry, research, and government, still suffer from sustainability challenges.
Yijing Zeng, Bangya Liu, Yilong Li, Domenico Giustiniano, Suman Banerjee   +4 more
openaire   +2 more sources

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 6, June 2025.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source

Crowdsensing-Assisted Path Loss Estimation and Management of Dynamic Coverage in 3D Wireless Networks With Dense Small Cells

IEEE Access, 2021
Emerging vertical applications enabled by connected devices and smart infrastructures have created an ever-increasing demand for high data rates over 5th-Generation (5G) and beyond wireless networks.
M. G. S. Sriyananda, Xianbin Wang, Raveendra K. Rao   +2 more
doaj   +1 more source

CENTURION: Incentivizing Multi-Requester Mobile Crowd Sensing

, 2017
The recent proliferation of increasingly capable mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource the collection of sensory data to a crowd of participating workers that carry various mobile devices.
Jin, Haiming, Nahrstedt, Klara, Su, Lu
core   +1 more source

A semantically enabled architecture for interoperable edge‐cloud continuum applied to the e‐health scenario

Software: Practice and Experience, Volume 55, Issue 3, Page 409-447, March 2025.
Abstract The progress made in the field of medicine and the consequent increase in the prospect of life have contributed to rise people's interest towards a healthier lifestyle. Fitness activity is becoming a must for those who aspire to live more and better.
Angelo Martella, Antonella Longo, Marco Zappatore, Beniamino Di Martino, Antonio Esposito   +4 more
wiley   +1 more source

Indoor Localization Based on IoT Crowdsensing Task Allocation

Journal of Sensor and Actuator Networks
Crowdsensing has been recently investigated as an incorporation of Human-Machine intelligence in which contribution of users is crucial. Indoor localization is one of the significant applications among divers applications that have been introduced in ...
Bahareh Lashkari, Javad Rezazadeh, Reza Farahbakhsh   +2 more
doaj   +1 more source

Trust-3DM: Trustworthiness-Based Data-Driven Decision-Making Framework Using Smart Edge Computing for Continuous Sensing

IEEE Access, 2022
Mobile Edge Computing (MEC) has been proposed as an efficient solution for Mobile crowdsensing (MCS). It allows the parallel collection and processing of data in real time in response to a requested task.
Hanane Lamaazi, Rabeb Mizouni, Hadi Otrok, Shakti Singh, Ernesto Damiani   +4 more
doaj   +1 more source

Bridge monitoring using mobile sensing data with traditional system identification techniques

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 5, Page 579-593, 17 February 2025.
Abstract Mobile sensing has emerged as an economically viable alternative to spatially dense stationary sensor networks, leveraging crowdsourced data from today's widespread population of smartphones. Recently, field experiments have demonstrated that using asynchronous crowdsourced mobile sensing data, bridge modal frequencies, and absolute mode ...
Liam Cronin, Debarshi Sen, Giulia Marasco, Thomas Matarazzo, Shamim Pakzad   +4 more
wiley   +1 more source

Cybersecurity and Artificial Intelligence in Unmanned Aerial Vehicles: Emerging Challenges and Advanced Countermeasures

IET Information Security, Volume 2025, Issue 1, 2025.
The increasing adoption of artificial intelligence (AI)‐driven unmanned aerial vehicles (UAVs) in military, commercial, and surveillance operations has introduced significant security challenges, including cyber threats, adversarial AI attacks, and communication vulnerabilities. This paper presents a comprehensive review of the key security threats and
Deafallah Alsadie, Jiwei Tian
wiley   +1 more source