Data collection for attack detection and security measurement in mobile ad hoc networks: A survey

G Liu, Z Yan, W Pedrycz - Journal of Network and Computer Applications, 2018 - Elsevier
Abstract Mobile Ad Hoc Network (MANET) is becoming one type of major next generation
wireless networks. Nevertheless, it easily suffers from various attacks due to its specific …

Mixed game-based AoI optimization for combating COVID-19 with AI bots

Y Yang, W Wang, Z Yin, R Xu, X Zhou… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Since the outbreak of COVID-19 pandemic in 2020, a dramatic loss of human life has
occurred and this trend presents an unprecedented challenge to public health, economic …

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 …

Selfishness in vehicular delay-tolerant networks: A review

GU Rehman, A Ghani, S Muhammad, M Singh… - Sensors, 2020 - mdpi.com
Various operational communication models are using Delay-Tolerant Network as a
communication tool in recent times. In such a communication paradigm, sometimes there …

Improving IoT data quality in mobile crowd sensing: A cross validation approach

T Luo, J Huang, SS Kanhere, J Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Data quality, or sometimes referred to as data credibility, is a critical issue in mobile crowd
sensing (MCS) and more generally Internet of Things (IoT). While candidate solutions, such …

Mobile crowdsensing: A survey on privacy-preservation, task management, assignment models, and incentives mechanisms

F Khan, AU Rehman, J Zheng, MA Jan… - Future Generation …, 2019 - Elsevier
Mobile crowdsensing is a useful technique to collect detailed information from mobile
devices of the participants. The participants need to participate to sense and transmit …

An efficient collaboration and incentive mechanism for Internet of Vehicles (IoV) with secured information exchange based on blockchains

B Yin, Y Wu, T Hu, J Dong… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT), mobile crowdsensing (MCS), ie,
outsourcing sensing tasks to mobile devices or vehicles, has been proposed to address the …

Dynamic participant selection for large-scale mobile crowd sensing

H Li, T Li, W Wang, Y Wang - IEEE Transactions on Mobile …, 2018 - ieeexplore.ieee.org
With the rapid increasing of smart phones and the advances of embedded sensing
technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for …

DeePGA: A privacy-preserving data aggregation game in crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan, J Xu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The Internet of Things has such a profound impact that we have witnessed crowdsensing
has emerged as the most popular sensing paradigm where participants sense and …

Differentially private unknown worker recruitment for mobile crowdsensing using multi-armed bandits

H Zhao, M Xiao, J Wu, Y Xu, H Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing is a new paradigm by which a platform can recruit mobile workers to
perform some sensing tasks by using their smart mobile devices. In this paper, we focus on a …