Results 51 to 60 of about 12,378 (273)
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
The Role of Environments and Sensing Strategies in Unmanned Aerial Vehicle Crowdsensing
Crowdsensing has gained popularity across various domains such as urban transportation, environmental monitoring, and public safety. Unmanned aerial vehicle (UAV) crowdsensing is a novel approach that collects extensive data from targeted environments ...
Yaqiong Zhou +5 more
doaj +1 more source
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
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsensing platform if they can receive satisfactory reward.
Luo, Jun +4 more
core +1 more source
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to collectively sense and perform computing tasks in an unprecedented scale ...
Belkin, Mikhail +4 more
core +1 more source
The study presents C3Crowd$C^3Crowd$, a blockchain‐based framework designed to enhance security in crowd management through decentralization, cryptography and smart contracts. It uses reputation management and a credit‐based incentive model to encourage user participation while safeguarding sensitive crowd data.
Sukanta Chakraborty, Abhishek Majumder
wiley +1 more source
Mobile crowdsensing is a powerful paradigm that exploits the advanced sensing capabilities and ubiquity of smartphones in order to collect and analyze data on a scale that is impossible with fixed sensor networks.
Eva Zupančič, Borut Žalik
doaj +1 more source
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data inference is incorporated into the MCS process for reducing sensing costs while its quality is guaranteed.
Liu, Wenbin +5 more
core +1 more source
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
Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species
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

