This paper therefore proposes a routing method for non-cooperative mWSNs based on Reinforcement Learning (RL). In particular, a reputation and trust scheme to ...
Abstract— The main function of biomedical sensor network is to guarantee that the data packets from patients can be delivered.
This paper therefore proposes a routing method for non-cooperative mWSNs based on Reinforcement Learning (RL). In particular, a reputation and trust scheme to ...
Mobile wireless sensor networks, en. dc.subject, Reinforcement ... Rl-based routing in biomedical mobile wireless sensor networks using trust and reputation ...
Rl-based routing in biomedical mobile wireless sensor networks using trust and reputation · Yanee Naputta. Showing results 1 to 1 of 1. Theme by Logo CINECA.
People also ask
What are the routing strategies in wireless sensor networks?
How does negotiation-based routing enable functionality in WSN?
What is the spin protocol in WSN?
Which is energy efficient routing protocol for wireless sensor networks?
This paper proposes 3R, a reliable multi agent reinforcement learning routing protocol for WMSN. 3R uses a novel resource-conservative Reinforcement Learning ( ...
Reinforcement Learning (RL) based routing protocols have been introduced in the literature to address the routing problem in WSN [6–8]. Although this approach ...
RRP is a lightweight attacks-resistant routing protocol designed to meet the unique requirements of WMSN and uses a novel Q-learning model to reduce ...
PDF | Reinforcement learning (RL), which is a class of machine learning, provides a framework by which a system can learn from its previous interactions.
Missing: reputation. | Show results with:reputation.
Ensuring a reliable path between the source and the destination requires making trust- aware routing decisions to avoid untrustworthy paths. A lightweight and ...