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May 23, 2023 � We propose learning automata based on a scheduling algorithm called self-adaptive minimum energy consumption algorithm (SAMECA).
Aug 7, 2024 � As a powerful reinforcement learning method, the learning automaton (LA) has been studied, analyzed, and applied to various engineering systems�...
Jul 30, 2023 � In heterogeneous WSN, an improved social spider optimisation algorithm has been suggested to eliminate coverage redundancy and blind spots�...
To reduce the average energy consumption of networks, we propose learning automata based on a scheduling algorithm called self-adaptive minimum energy�...
The present study offers two learning automata (LA)-based scheduling algorithms for investigating a near-optimal solution to the k -coverage problem. The�...
Missing: Optimisation | Show results with:Optimisation
Jan 30, 2022 � The adaptive learning automata technique was used to schedule the sensors. This technique will assist sensor nodes in selecting their state�...
Missing: novel | Show results with:novel
Optimisation of target coverage in wireless sensor network using novel learning automata approach by Haribansh Mishra; Anil Kumar Pandey; Bankteshwar Tiwari
Oct 25, 2012 � In this paper, we propose an efficient scheduling method based on learning automata, in which each node is equipped with a learning automaton.
Missing: Optimisation novel
In this paper, we propose an efficient scheduling method based on learning automata, in which each node is equipped with a learning automaton, which helps the�...
Missing: novel | Show results with:novel
Jun 25, 2020 � A new learning automata-based approach for maximizing network lifetime in wireless sensor networks with adjustable sensing ranges.