scholarly journals Transmission Power Management of LEACH Wireless Sensor Network Cluster Using Multi-Agents Reinforcement Learning Power Control

2021 ◽  
Vol 13 (3) ◽  
pp. 566-580
Author(s):  
Dwi Widodo Heru Kurniawan ◽  
◽  
Adit Kurniawan ◽  
M. Sigit Arifianto ◽  
◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Power Management ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Network Cluster ◽  
Multi Agents

scholarly journals Transmission Power Control for Wireless Sensor Network

2017 ◽  
Vol 3 (4) ◽  
pp. 279 ◽  
Author(s):  
Kuo-Hsien Hsia ◽  
Chung-Wen Hung ◽  
Hsuan T. Chang ◽  
Yuan-Hao Lai
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Transmission Power Control

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

scholarly journals Lessons learned deploying an oyster farm monitoring auto-sustainable wireless sensor network and trial of a temperature and relative humidity–based transmission power control scheme

2017 ◽  
Vol 13 (3) ◽  
pp. 155014771769732 ◽  
Author(s):  
César Ortega-Corral ◽  
José Jaime Esqueda Elizondo ◽  
Oscar Ricardo Acosta Del Campo ◽  
Luis E Palafox ◽  
Leocundo Aguilar ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Relative Humidity ◽  
Power Control ◽  
Sensor Network ◽  
Lessons Learned ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Transmission Power Control ◽  
Control Scheme ◽  
Oyster Farm

scholarly journals Transmission Power Control for Wireless Sensor Network

2017 ◽  
Vol 22 ◽  
pp. 75-78
Author(s):  
Kuo-Hsien Hsia ◽  
Chung-Wen Hung ◽  
Hsuan T. Chang ◽  
Yuan-Hao Lai
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Transmission Power Control
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