Cedar: A cost-effective crowdsensing system for detecting and localizing drones

G Yang, X Shi, L Feng, S He, Z Shi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The increasing popularity of drones is bringing many public security and privacy breach
issues, such as smuggling, intrusion, and illegal surveillance. Traditional approaches to …

Reusing delivery drones for urban crowdsensing

C Xiang, Y Zhou, H Dai, Y Qu, S He… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Thanks to the increasing number and massive coverage, delivery drones, equipped with
various sensors, have demonstrated significant but unexplored potentials for large-scale …

Energy-efficient 3d data collection for multi-uav assisted mobile crowdsensing

L Fu, Z Zhao, G Min, W Miao, L Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS) is an emerging paradigm that employs massive mobile
devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS …

Medusa: A programming framework for crowd-sensing applications

MR Ra, B Liu, TF La Porta, R Govindan - Proceedings of the 10th …, 2012 - dl.acm.org
The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-
sensing, a capability that harnesses the power of crowds to collect sensor data from a large …

[图书][B] Mobile crowdsensing

C Borcea, M Talasila, R Curtmola - 2016 - taylorfrancis.com
Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the
physical world. In mobile crowdsensing, mobile personal devices such as smart phones or …

Amateur drone surveillance: Applications, architectures, enabling technologies, and public safety issues: Part 1

Z Kaleem, MH Rehmani, E Ahmed… - IEEE …, 2018 - ieeexplore.ieee.org
The articles in this special section present the most recent advances in amateur drone
surveillance network architecture and technologies. The advancement in communication …

[HTML][HTML] Flockai: A testing suite for ml-driven drone applications

D Trihinas, M Agathocleous, K Avogian, I Katakis - Future Internet, 2021 - mdpi.com
Machine Learning (ML) is now becoming a key driver empowering the next generation of
drone technology and extending its reach to applications never envisioned before …

Lowering the barriers to large-scale mobile crowdsensing

Y Xiao, P Simoens, P Pillai, K Ha… - Proceedings of the 14th …, 2013 - dl.acm.org
Mobile crowdsensing is becoming a vital technique for environment monitoring,
infrastructure management, and social computing. However, deploying mobile …

Quality-driven auction-based incentive mechanism for mobile crowd sensing

Y Wen, J Shi, Q Zhang, X Tian, Z Huang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The recent paradigm of mobile crowd sensing (MCS) enables a broad range of mobile
applications. A critical challenge for the paradigm is to incentivize phone users to be workers …

A cost-effective distributed framework for data collection in cloud-based mobile crowd sensing architectures

A Capponi, C Fiandrino, D Kliazovich… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Mobile crowd sensing received significant attention in the recent years and has become a
popular paradigm for sensing. It operates relying on the rich set of built-in sensors equipped …