In this paper a well structured rule using Reinforcement Learning (RL) is proposed. An agent interacts with the network environment and map the policy for the ...
Apr 25, 2024 · A Well Structured Rule through Reinforcement Learning for Wireless Sensor Networks Security. ICWN 2008: 41-45. [+][–]. Coauthor network.
Oct 22, 2024 · This article provides an extensive review on the application of RL to WSNs. This covers many components and features of RL, such as state, action and reward.
ML algorithms can provide a better method for the security of wireless sensor networks than the traditional methods represented by encryption algorithms. In ...
This paper proposes an application-specific Routing Protocol based on Reinforcement Learning (RL) for Software Defined Network (SDN)-enabled WSN forest fire ...
Pioneering advanced security solutions for reinforcement learning ...
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Jun 17, 2024 · This paper proposes a novel approach by implementing a reinforcement learning (RL) model for adaptive key rotation in Zigbee networks.
This paper proposes 3R, a reliable multi agent reinforcement learning routing protocol for WMSN. 3R uses a novel resource-conservative Reinforcement Learning ( ...
Missing: Structured Rule
Aug 29, 2022 · This paper proposes ReLeC protocol, a reinforcement learning-based, clustering-enhanced strategy for energy-efficient routing in WSNs and ...
This paper proposes a new deep reinforcement learning (DRL)-based strategy, ie, DeepNR strategy, to enhance the energy efficiency and security performance of ...
energy aware reinforcement learning network security - Academia.edu
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Reinforcement Learning (RL) is an Artificial Intelligence (AI) procedure which performs better than other AI procedures in case of Network Security.
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