Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nestor C. Fernandes"'
Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN
Publikováno v:
Sensors, Vol 21, Iss 21, p 7375 (2021)
One of the most important challenges in Wireless Sensor Networks (WSN) is the extension of the sensors lifetime, which are battery-powered devices, through a reduction in energy consumption. Using data prediction to decrease the amount of transmitted
Externí odkaz:
https://doaj.org/article/af695a3400ba4e4786aa9ba5820e75fa
Publikováno v:
Sensors, Vol 20, Iss 11, p 3076 (2020)
In this paper, we propose a methodology to use the received signal strength indicator (RSSI) available by the protocol stack of an installed Wireless Sensor Network (WSN) at an electric-power-system environment (EPS) as a tool for obtaining the chara
Externí odkaz:
https://doaj.org/article/6d158136ebef4ecbab7a64ea0efe71d9
Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7375, p 7375 (2021)
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7375, p 7375 (2021)
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Sensors
Volume 21
Issue 21
One of the most important challenges in Wireless Sensor Networks (WSN) is the extension of the sensors lifetime, which are battery-powered devices, through a reduction in energy consumption. Using data prediction to decrease the amount of transmitted
Publikováno v:
I2MTC
Energy consumption is a major issue in Wireless Sensor Networks (WSNs). Data prediction methods can improve the lifetime of the network and reduce congestion by reducing the amount of unnecessary data transmission. This paper proposes the use of a Se
Publikováno v:
Sensors
Volume 20
Issue 11
Sensors, Vol 20, Iss 3076, p 3076 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 11
Sensors, Vol 20, Iss 3076, p 3076 (2020)
Sensors (Basel, Switzerland)
In this paper, we propose a methodology to use the received signal strength indicator (RSSI) available by the protocol stack of an installed Wireless Sensor Network (WSN) at an electric-power-system environment (EPS) as a tool for obtaining the chara
Publikováno v:
I2MTC
We proposed the use of the available data of a Wireless Sensor Network (WSN) for determining the static characteristics and studying the dynamic behavior of the propagation channel. Channel path-loss and shadowing parameters were evaluated for two di