Results 41 to 50 of about 3,090 (173)

Sparse Mobile Crowdsensing: Challenges and Opportunities

open access: yes, 2016
Sensing cost and data quality are two primary concerns in mobile crowdsensing. In this article, we propose a new crowdsensing paradigm, sparse mobile crowdsensing, which leverages the spatial and temporal correlation among the data sensed in different ...
M'Hamed, Abdallah   +6 more
core   +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

Centralized and Decentralized Event‐Triggered Consensus Control for Leader–Follower Connected Vehicle Systems

open access: yesComplexity, Volume 2026, Issue 1, 2026.
This paper investigates the consensus problem in leader–follower connected vehicle systems (CVSs) under deception attacks—including coordinated position, velocity, and acceleration attacks as well as delays and disturbances. Centralized and decentralized event‐triggered control strategies are proposed, allowing follower actuators to update at ...
Azmat Ullah Khan Niazi   +5 more
wiley   +1 more source

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

Development of Linear Diophantine Fuzzy Z‐Number Aczel–Alsina Aggregation Operators and Their Use in a Hybrid MCDM Framework for Medical Diagnosis

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.
A linear Diophantine Z‐number Aczel–Alsina t‐norm operator is implemented for solving a linear Diophantine Z‐number problem, along with explaining its reliability, along with the solution derived. Some basic mathematical characteristics of the introduced operator, such as monotonicity, boundedness, and homogeneity, are rigorously deduced mathematically
Muhammad Umar Mirza   +4 more
wiley   +1 more source

Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation [PDF]

open access: yes
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities.
Zhu, Zhengqiu   +8 more
core   +1 more source

Indoor Localization Based on IoT Crowdsensing Task Allocation

open access: yesJournal 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   +2 more
doaj   +1 more source

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

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

Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species

open access: yesAdvanced Science, Volume 12, Issue 43, November 20, 2025.
An instant underwater adhesion hydrogel interface is constructed via a universal and facile molecular entanglement engineering through a roll‐to‐roll scalable manufacturing protocol, achieving rapid and strong interfacial toughness over 230 J•m−2 within 10 s.
Xueyin Chen   +10 more
wiley   +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

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