Fog computing systems: State of the art, research issues and future trends, with a focus on resilience

J Moura, D Hutchison - Journal of Network and Computer Applications, 2020 - Elsevier
Many future innovative computing services will use Fog Computing Systems (FCS),
integrated with Internet of Things (IoT) resources. These new services, built on the …

A hierarchical learning solution for anti-jamming Stackelberg game with discrete power strategies

L Jia, F Yao, Y Sun, Y Xu, S Feng… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
This letter investigates the anti-jamming problem with discrete power strategies, and then a
Stackelberg game is formulated to model the competitive interactions between the user and …

Anti-jamming game to combat intelligent jamming for cognitive radio networks

K Ibrahim, SX Ng, IM Qureshi, AN Malik… - IEEE Access, 2021 - ieeexplore.ieee.org
Cognitive Radio (CR) provides a promising solution to the spectrum scarcity problem in
dense wireless networks, where the sensing ability of cognitive users helps acquire …

Multi-stage hierarchical channel allocation in UAV-assisted D2D networks: A stackelberg game approach

T Fang, D Wu, M Wang, J Chen - China Communications, 2021 - ieeexplore.ieee.org
UAV-assisted D2D networks can provide auxiliary communication for areas with poor
communication facilities by using the characteristics of easy deployment of unmanned aerial …

A reinforcement learning approach for dynamic spectrum anti-jamming in fading environment

L Kong, Y Xu, Y Zhang, X Pei, M Ke… - 2018 IEEE 18th …, 2018 - ieeexplore.ieee.org
In this article, we study the problem of anti-jamming through channel selection in fading
environment. Different from the most existing works which ignored the fading characteristic …

Towards faster big data analytics for anti‐jamming applications in vehicular ad‐hoc network

H Bangui, M Ge, B Buhnova… - Transactions on …, 2021 - Wiley Online Library
Abstract Nowadays, Wireless Vehicular Ad‐Hoc Network (VANET) has become a valuable
asset for transportation systems. However, this advanced technology is characterized by …

On the performance of deep reinforcement learning-based anti-jamming method confronting intelligent jammer

Y Li, X Wang, D Liu, Q Guo, X Liu, J Zhang, Y Xu - Applied Sciences, 2019 - mdpi.com
With the development of access technologies and artificial intelligence, a deep
reinforcement learning (DRL) algorithm is proposed into channel accessing and anti …

A multi-domain anti-jamming defense scheme in heterogeneous wireless networks

L Jia, Y Xu, Y Sun, S Feng, L Yu, A Anpalagan - IEEE Access, 2018 - ieeexplore.ieee.org
In this paper, we investigate the anti-jamming problem in heterogeneous wireless networks.
Although there are many studies on the anti-jamming defense problem in both power …

Empowering self-organized feature maps for AI-enabled modeling of fake task submissions to mobile crowdsensing platforms

Y Zhang, M Simsek, B Kantarci - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has emerged as a ubiquitous solution for data collection from
embedded sensors of smart devices to improve the sensing capacity and reduce sensing …

Guarding legal communication with smart jammer: Stackelberg game based power control analysis

Z Su, N Qi, Y Yan, Z Du, J Chen, Z Feng… - China …, 2021 - ieeexplore.ieee.org
This paper investigates a power control problem in a jamming system, where a separate
smart jammer is deployed to ensure the communication security of the legal user. However …