Results 61 to 70 of about 12,378 (273)

A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT

open access: yesIEEE Access, 2020
In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in MCS can help address many challenges the centralized MCS solutions are facing such as delays in ...
Hanane Lamaazi   +3 more
doaj   +1 more source

IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing

open access: yesIEEE Access, 2021
The proliferation of the Internet of Things (IoT) has paved the way for the future of smart cities. The large volume of data over the IoT can enable decision-making for various applications such as smart transportation, smart parking, and smart lighting.
Kun Wang   +5 more
doaj   +1 more source

CENTURION: Incentivizing Multi-Requester Mobile Crowd Sensing

open access: yes, 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

Fairness in Federated Learning: Trends, Challenges, and Opportunities

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

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

open access: yesSoftware: 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   +4 more
wiley   +1 more source

CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

open access: yesApplied Sciences, 2022
Crowdsensing using mobile phones is a novel addition to the Internet of Things applications suite. However, there are many challenges related to crowdsensing, including (1) the ability to manage a large number of mobile users with varying devices ...
Sujith Samuel Mathew   +2 more
doaj   +1 more source

CSWA: Aggregation-Free Spatial-Temporal Community Sensing

open access: yes, 2017
In this paper, we present a novel community sensing paradigm -- {C}ommunity {S}ensing {W}ithout {A}ggregation}. CSWA is designed to obtain the environment information (e.g., air pollution or temperature) in each subarea of the target area, without ...
Bian, Jiang   +3 more
core   +1 more source

Bridge monitoring using mobile sensing data with traditional system identification techniques

open access: yesComputer-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   +4 more
wiley   +1 more source

Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach

open access: yesISPRS International Journal of Geo-Information, 2020
Accurate information of traffic regulators at junctions is important for navigating and driving in cities. However, such information is often missing, incomplete or not up-to-date in digital maps due to the high cost, e.g., time and money, for data ...
Hao Cheng   +2 more
doaj   +1 more source

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