Abstract—In this letter, an online reinforcement learning method based on particle swarm optimization (PSO) is proposed to maximize transmission energy ...
PDF | In this paper, an online reinforcement learning method based on particle swarm optimization (PSO) is proposed to maximize transmission energy.
Valehi, Ali, and Razi, Abolfazl. "An Online Learning Method to Maximize Energy Efficiency of Cognitive Sensor Networks". IEEE Communications Letters 22 (5).
A joint framing and scheduling policy is proposed that optimizes energy efficiency of communication system under strict constraints on the expected age of ...
Therefore, an energy-efficient mechanism is important. This article proposes a new method for energy-efficient improvement based on machine learning from the ...
In this paper, we propose a novel Energy-Efficient Adaptive Sensing (EEAS) technique for CRSN to overcome the spectrum access problem in the presence of PUEA.
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A New Method Based on Machine Learning to Increase Efficiency in Wireless Sensor Networks. ... sensors' energy consumption must be carefully monitored.
Designing energy-efficient cognitive radio sensor networks is important to intelligently use battery energy and to maximize the sensor network life.
The proposed EAQ-AODV routing achieves an improved performance in terms of average end-to-end delay, average energy consumption and network lifetime.
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Nov 6, 2024 · This paper presents NN_ILEACH, a novel neural network-based routing protocol designed to enhance the energy efficiency and longevity of ...
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