Federated learning in smart city sensing: Challenges and opportunities

JC Jiang, B Kantarci, S Oktug, T Soyata - Sensors, 2020 - mdpi.com
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …

A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Hybrid blockchain-based resource trading system for federated learning in edge computing

S Fan, H Zhang, Y Zeng, W Cai - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
By training a machine learning algorithm across multiple decentralized edge nodes,
federated learning (FL) ensures the privacy of the data generated by the massive Internet-of …

A stackelberg game approach toward socially-aware incentive mechanisms for mobile crowdsensing

J Nie, J Luo, Z Xiong, D Niyato… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile crowdsensing has shown great potential in addressing large-scale data sensing
problems by allocating sensing tasks to pervasive mobile users. The mobile users will …

Enhanced-AODV: A robust three phase priority-based traffic load balancing scheme for internet of things

M Adil, H Song, J Ali, MA Jan, M Attique… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
One of the operational challenges in the Internet of Things (IoT) is load balancing, which is
the focus of interest of this article. We propose a three-phase enhanced ad hoc on-demand …

An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT

J Xiong, M Zhao, MZA Bhuiyan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …

Mobile crowd-sensing applications: Data redundancies, challenges, and solutions

TN Nguyen, S Zeadally - ACM Transactions on Internet Technology …, 2021 - dl.acm.org
Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer
from disadvantages such as deployment location limitation, geographical distance, as well …

CMAB-based reverse auction for unknown worker recruitment in mobile crowdsensing

M Xiao, B An, J Wang, G Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS), through which a requester can coordinate a crowd of workers
to accomplish some data collection tasks, has been recognized as a promising paradigm for …

Use of mobile crowdsensing in disaster management: A systematic review, challenges, and open issues

D Cicek, B Kantarci - Sensors, 2023 - mdpi.com
With the increasing efforts to utilize information and communication technologies (ICT) in
disaster management, the massive amount of heterogeneous data that is generated through …

ilocus: Incentivizing vehicle mobility to optimize sensing distribution in crowd sensing

S Xu, X Chen, X Pi, C Joe-Wong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Vehicular crowd sensing systems are designed to achieve large spatio-temporal sensing
coverage with low-cost in deployment and maintenance. For example, taxi platforms can be …