Results 41 to 50 of about 2,442,562 (279)

Pavement Management Utilizing Mobile Crowd Sensing

Advances in Civil Engineering, 2020
Pavement management, which is vital in road transportation and maintenance, is facing some troubles, such as high costs of labors and machineries, low detecting efficiency, and low update rate of pavement conditions by means of traditional detection ways.
Boquan Tian, Yongbo Yuan, Hengyu Zhou, Zhen Yang   +3 more
doaj   +1 more source

CENTURION: Incentivizing multi-requester mobile crowd sensing [PDF]

IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, 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. Aware of the paramount importance of effectively incentivizing participation in such systems, the research community has
Haiming Jin, Lu Su 0001, Klara Nahrstedt
openaire   +4 more sources

A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios

IEEE Access, 2023
Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS) is rapidly gaining popularity among researchers in different fields, given its ability to collect data at scale and low cost.
Enshi Zhang, Rafael Trujillo, John Michael Templeton, Christian Poellabauer   +3 more
doaj   +1 more source

Hybrid Two-Phase Task Allocation for Mobile Crowd Sensing [PDF]

Jisuanji gongcheng, 2022
As a result of the popularity of mobile devices, Mobile Crowd Sensing(MCS) has attracted a lot of attention.Task allocation is a significant problem in MCS.Most previous studies mainly focused on stationary spatial tasks while neglecting the changes of ...
LIU Jiahao, JIN Hanxin, QIANG Lei, GAO Guoju, DU Yang, HUANG He
doaj   +1 more source

Failure-Aware Mobile Crowd Sensing: A Social Relationship-Based Transfer Approach

IEEE Access, 2019
As an appealing sensing paradigm, Mobile Crowd Sensing (MCS) which provides a cost-efficient solution for large-scale urban sensing tasks has gained significant attention in recent years.
Liang Wang, Rujun Guan, Zhiwen Yu, En Wang, Bin Guo, Qi Han   +5 more
doaj   +1 more source

LCBPA: two-stage task allocation algorithm for high-dimension data collecting in mobile crowd sensing network

EURASIP Journal on Wireless Communications and Networking, 2019
Mobile crowd sensing (MCS) is a novel emerging paradigm that leverages sensor-equipped smart mobile terminals (e.g., smartphones, tablets, and intelligent wearable devices) to collect information.
Ning Zhou, Jianhui Zhang, Binqiang Wang, Jia Xiao   +3 more
doaj   +1 more source

Real-Time Human-In-The-Loop Simulation with Mobile Agents, Chat Bots, and Crowd Sensing for Smart Cities

Sensors, 2019
Modelling and simulation of social interaction and networks are of high interest in multiple disciplines and fields of application ranging from fundamental social sciences to smart city management.
Stefan Bosse, Uwe Engel
doaj   +1 more source

Bumbometer digital crowd game: collaboration through competition in entertainment events

Journal on Interactive Systems, 2021
The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social ...
Gustavo Martins, Genildo Gomes, Júlia Luiza Conceição, Leonardo Marques, Dan da Silva, Thais Castro, Bruno Gadelha, Rosiane de Freitas   +7 more
doaj   +1 more source

FedCrow: Federated-Learning-Based Data Privacy Preservation in Crowd Sensing

Applied Sciences
In the process of completing large-scale and fine-grained sensing tasks for the new generation of crowd-sensing systems, the role of analysis, reasoning, and decision making based on artificial intelligence has become indispensable. Mobile crowd sensing,
Jun Ma, Long Chen, Jian Xu, Yaoxuan Yuan
doaj   +1 more source

Improving the quality of service indices of task allocation in mobile crowd sensing with fuzzy-based inverse stackelberg game theory

Intelligent Systems with Applications, 2023
This paper introduces a comprehensive strategy for heterogeneously allocating tasks, aiming to optimize mobile crowd sensing through the use of fuzzy logic and thus achieving superior coverage quality.
Zohreh Vahedi, Seyyed Javad Seyyed Mahdavi Chabok, Gelareh Veisi   +2 more
doaj   +1 more source