A game theory approach for cooperative control to improve data quality and false data detection in WSN

R Casado‐Vara, F Prieto‐Castrillo… - … Journal of Robust …, 2018 - Wiley Online Library
New solutions are required for the management of heterogeneous distributed sensor
networks in order to address the problem of data quality and false data detection in wireless …

Game theory for multi-access edge computing: Survey, use cases, and future trends

J Moura, D Hutchison - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Game theory (GT) has been used with significant success to formulate, and either design or
optimize, the operation of many representative communications and networking scenarios …

Game theory in internet of things: A survey

C Chi, Y Wang, X Tong, M Siddula… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are being used widely in the fields of smart city, smart grid,
environmental monitoring, Internet of Vehicles and other fields that need large-scale sensing …

A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning

Z Peng, J Hu, K Shi, R Luo, R Huang, BK Ghosh… - Applied Mathematics …, 2020 - Elsevier
In this paper, the optimal bipartite consensus control (OBCC) problem is investigated for
unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC …

[HTML][HTML] Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

H Ap, KK - EURASIP Journal on Wireless Communications and …, 2019 - Springer
The advancements in the domain of Internet of Things (IoT) accelerated the development of
new communication technologies. Machine to machine communication in IoT is …

Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges

E Ahmed, A Gani, S Abolfazli, LJ Yao… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
The cognitive radio is an emerging technology that enables dynamic spectrum access in
wireless networks. The cognitive radio is capable of opportunistically using the available …

Hierarchical multiresolution design of bioinspired structural composites using progressive reinforcement learning

CH Yu, BY Tseng, Z Yang, CC Tung… - Advanced Theory …, 2022 - Wiley Online Library
A new method using reinforcement learning for designing bioinspired composite materials is
proposed. While bioinspired design of materials is a promising avenue, the possible …

Denial of service defence for resource availability in wireless sensor networks

OA Osanaiye, AS Alfa, GP Hancke - IEEE Access, 2018 - ieeexplore.ieee.org
Wireless sensor networks (WSN) over the years have become one of the most promising
networking solutions with exciting new applications for the near future. Its deployment has …

A survey on the combined use of optimization methods and game theory

MK Sohrabi, H Azgomi - Archives of Computational Methods in …, 2020 - Springer
Game theory is a field of applied mathematics that studies strategic behavior of rational
factors. In other words, game theory is a collection of analytical tools that can be used to …

Game theory for energy efficiency in wireless sensor networks: Latest trends

T AlSkaif, MG Zapata, B Bellalta - Journal of Network and Computer …, 2015 - Elsevier
In the area of Wireless Sensor Networks (WSNs), improving energy efficiency and network
lifetime is one of the most important and challenging issues. Most of the considered WSNs …