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Incentives for Mobile Crowd Sensing: A Survey

IEEE Communications Surveys and Tutorials, 2016
Recent years have witnessed the fast proliferation of mobile devices (e.g., smartphones and wearable devices) in people's lives. In addition, these devices possess powerful computation and communication capabilities and are equipped with various built-in functional sensors.
Kai Xing, Xinglin Zhang, Zheng Yang
exaly   +3 more sources

Robust Spectrum Sensing With Crowd Sensors

IEEE Transactions on Communications, 2014
This paper investigates the issue of cooperative spectrum sensing with a crowd of low-end personal spectrum sensors (such as smartphones, tablets, and in-vehicle sensors), where one critical challenge is the uncertainty of the quality of sensing data from crowd sensors that may be unreliable, untrustworthy, or even malicious.
Qihui Wu, Yingying Chen, Yulong Zou
exaly   +3 more sources

Opportunities in mobile crowd sensing

IEEE Communications Magazine, 2014
Mobile crowd sensing is a new paradigm that takes advantage of pervasive mobile devices to efficiently collect data, enabling numerous largescale applications. Human involvement is one of the most important features, and human mobility offers unprecedented opportunities for both sensing coverage and data transmission.
Huadong Ma, Dong Zhao 0001, Peiyan Yuan
openaire   +2 more sources

An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning

IEEE transactions on intelligent transportation systems (Print), 2022
Autonomous unmanned aerial vehicles (UAVs) are essential for detecting and tracking specific events, such as automatic navigation. The intelligent monitoring of people’s social distances in crowds is one of the most significant events caused by the ...
K. Rezaee   +4 more
semanticscholar   +1 more source

Blockchain technology for energy‐aware mobile crowd sensing approaches in Internet of Things

Transactions on Emerging Telecommunications Technologies, 2021
Today, Blockchain technology is emerging to support high secured performance computing. To improve privacy and security factors of allocate, storage, and manage resources in edge computing, blockchain technology can be used to guarantee safe data ...
Sisi Zhu, A. Souri
semanticscholar   +1 more source

Mobile Crowd-sensing Applications: Data Redundancies, Challenges, and Solutions

ACM Trans. Internet Techn., 2021
Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer from disadvantages such as deployment location limitation, geographical distance, as well as high construction and deployment costs of WSNs.
Tu N. Nguyen, S. Zeadally
semanticscholar   +1 more source

KNN-ST: Exploiting Spatio-Temporal Correlation for Missing Data Inference in Environmental Crowd Sensing

IEEE Sensors Journal, 2021
Sparse mobile crowdsensing is a new crowdsensing paradigm which leverages the spatial and temporal correlation between data sensed at different locations over time to reduce the overall sensing cost by significantly reducing the number of sensing tasks ...
Ningrinla Marchang, Rakesh Tripathi
semanticscholar   +1 more source

Urban crowd sensing demonstrator: Sense the Zagreb Air

2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2014
We demonstrate an urban crowd sensing application for monitoring air quality by use of specially-designed wearable sensors and mobile phones. The application is built upon the OpenIoT platform\footnote{; ; ; ; ; The EU FP7 project OpenIoT is the winner of the Open Source Rookie of the Year 2013.
Aleksandar Antonic   +8 more
openaire   +2 more sources

Toward City-Scale Vehicular Crowd Sensing: A Decentralized Framework for Online Participant Recruitment

IEEE transactions on intelligent transportation systems (Print)
As an emerging urban computing paradigm, vehicle crowd sensing (VCS) leverages ubiquitous vehicles as basic sensing units to achieve more efficient data collection.
Han Jiang   +4 more
semanticscholar   +1 more source

Surface Damage Identification for Heritage Site Protection: A Mobile Crowd-sensing Solution Based on Deep Learning

ACM Journal on Computing and Cultural Heritage, 2022
This article addresses the general problem of built heritage protection against both deterioration and loss. To continuously monitor and update the structural health status, a crowd-sensing solution based on powerful and automatic deep learning technique
Safia Meklati   +3 more
semanticscholar   +1 more source

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