Results 11 to 20 of about 16,976 (274)

Intelligent Anti-Jamming Communication for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach

open access: yesIEEE Open Journal of the Communications Society, 2021
In this article, we investigate intelligent anti-jamming communication method for wireless sensor networks. The stochastic game framework is introduced to model and analyze the multi-user anti-jamming problem, and a joint multi-agent anti-jamming ...
Quan Zhou, Yonggui Li, Yingtao Niu
doaj   +3 more sources

Communication Anti-jamming Technique Based on Enhanced Oblique Projection Operator in Polarization Domain [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the anti-jamming and interference suppression in wireless communication,this paper proposes a communication anti-jamming method in polarization domain.It uses oblique projection polarization filter in the signal polarization domain to overcome ...
ZHANG Xiaokai,ZHANG Bangning,GUO Daoxing,WANG Yaowen
doaj   +1 more source

Anti-Jamming RIS Communications Using DQN-Based Algorithm

open access: yesIEEE Access, 2022
Wireless sensor networks (WSNs) are widely applied in battlefield surveillance, where the data collection (e.g. target tracking or contention zone observation) employed by local sensor nodes needs to send to military bases for tactical decisions. Since data transmissions are susceptible to malicious attacks, jammers of adversaries can successfully ...
Pham Duy Thanh   +2 more
openaire   +2 more sources

A cross‐layer anti‐jamming method in satellite Internet

open access: yesIET Communications, 2023
In view of the diverse jamming environment, the single‐level anti‐jamming method faces some challenges such as poor timeliness, high cost and poor effect.
Peijie Yan   +3 more
doaj   +1 more source

Anti-Jamming Communication Using Slotted Cross Q Learning

open access: yesElectronics, 2023
Most of the existing intelligent anti-jamming communication algorithms model sensing, learning, and transmission as a serial process, and ideally assume that the duration of sensing and learning timeslots is very short, almost negligible. However, when the jamming environment changes rapidly, the sensing and learning time can no longer be ignored, and ...
Yingtao Niu   +3 more
openaire   +1 more source

Covert Anti-Jamming Communication Based on Gaussian Coded Modulation

open access: yesApplied Sciences, 2021
In several wireless communication systems, robustness against jammers and covertness against eavesdroppers are required simultaneously. In this paper, we propose a novel covert anti-jamming communication system.
Haeung Choi, Sangjun Park, Heung-No Lee
doaj   +1 more source

Droplet: A New Denial-of-Service Attack on Low Power Wireless Sensor Networks [PDF]

open access: yes, 2013
In this paper we present a new kind of Denial-of-Service attack against the PHY layer of low power wireless sensor networks. Overcoming the very limited range of jamming-based attacks, this attack can penetrate deep into a target network with high power ...
He, Zhitao, Voigt, Thiemo
core   +2 more sources

Distributed wireless network resource optimisation method based on mobile edge computing

open access: yesIET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang   +4 more
wiley   +1 more source

Retroactive Anti-Jamming for MISO Broadcast Channels [PDF]

open access: yes, 2013
Jamming attacks can significantly impact the performance of wireless communication systems. In addition to reducing the capacity, such attacks may lead to insurmountable overhead in terms of re-transmissions and increased power consumption. In this paper,
Amuru, SaiDhiraj   +3 more
core   +2 more sources

Fast Reinforcement Learning for Anti-jamming Communications

open access: yes, 2020
This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability $ $ and applies $ $-greedy with probability $(1- )$. A dynamic threshold based on the average value of previous several actions is designed and probability $ $ is formulated as a Gaussian-like function to guide
Ye, Pei-Gen   +3 more
openaire   +2 more sources

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