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

Author(s):  
Dwi Widodo Heru Kurniawan ◽  
◽  
Adit Kurniawan ◽  
M. Sigit Arifianto ◽  
◽  
...  
2017 ◽  
Vol 3 (4) ◽  
pp. 279 ◽  
Author(s):  
Kuo-Hsien Hsia ◽  
Chung-Wen Hung ◽  
Hsuan T. Chang ◽  
Yuan-Hao Lai

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho

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.


Sign in / Sign up

Export Citation Format

Share Document