With the advent of the information age, VR video streaming services have emerged in large numbers in scenarios such as immersive entertainment, smart education, and the Internet of …
Reinforcement learning (RL) is an unsupervised learning technique used in many real-time applications. The essence of RL is a decision-making problem. In RL, the agent constantly …
The rapid advancement of information and communication technologies (ICT) has drastically augmented the connectivity of actuators, computational elements and smart devices to the …
Wireless sensor network (WSN) is an evergreen research area, which always looks for energy efficiency. The main challenge for attaining energy efficiency in WSN is data …
A wireless sensor network (WSN) has achieved significant importance in tracking different physical or environmental conditions using wireless sensor nodes. Such types of networks …
In various industries such as industry, automation, health, military etc., Wireless Sensor Network (WSN's) has been developed. But, WSNs have limitations of energy efficiency …
Optimization of energy consumption in the batteries of a sensor node plays an essential role in wireless Sensor networks (WSNs). The longevity of sensor nodes depends on efficiency …
YM Raghavendra… - International …, 2020 - download.garuda.kemdikbud.go.id
In wireless sensor networks (WSNs), the minimization of usage of energy in the sensor nodes is a key task. Three salient functions are performed by WSNs' sensor nodes namely …
Z Abbas, MR Anjum, MU Younus… - Wireless Personal …, 2021 - Springer
Abstract The Wireless Sensor Networks (WSNs) usually consist of several wirelessly connected sensors, to accumulate the data from some geographically scattered field and …