TY - GEN
T1 - Online SNR detection for dynamic power management in wireless ad-hoc networks
AU - Erdogan, Erdem S.
AU - Ozev, Sule
AU - Collins, Leslie M.
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (21706104), the Natural Science Foundation of Jiangsu Province (BK20150484), the China Postdoctoral Science Foundation (2015M570416), and the financial support of the Research Foundation of Jiangsu University, China (14JDG148).
PY - 2008
Y1 - 2008
N2 - Power consumption is a critical factor that determines the lifetime of a wireless network node. Substantial portion of the power is consumed by the transceiver in the transmit phase. This paper presents a new SNR detection technique for dynamic power management of ad-hoc wireless network nodes. The technique is based on the spectral analysis together with a predetermined spectral mask of the received signal. The peak power of the transmitting party can be adjusted according to the SNR information computed at the receiving end. In this way, each wireless network node transmits at the minimum power level avoiding dropped packages. Measurements on sensor network nodes, we have determined 50% potential savings in the average power consumption of the overall node. Experiments on a small network show that the power management scheme provides 65% power savings.
AB - Power consumption is a critical factor that determines the lifetime of a wireless network node. Substantial portion of the power is consumed by the transceiver in the transmit phase. This paper presents a new SNR detection technique for dynamic power management of ad-hoc wireless network nodes. The technique is based on the spectral analysis together with a predetermined spectral mask of the received signal. The peak power of the transmitting party can be adjusted according to the SNR information computed at the receiving end. In this way, each wireless network node transmits at the minimum power level avoiding dropped packages. Measurements on sensor network nodes, we have determined 50% potential savings in the average power consumption of the overall node. Experiments on a small network show that the power management scheme provides 65% power savings.
KW - Ad-hoc sensor networks
KW - Dynamic power management
KW - Online SNR measurement
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U2 - 10.1109/RME.2008.4595766
DO - 10.1109/RME.2008.4595766
M3 - Conference contribution
AN - SCOPUS:51849154236
SN - 9781424419838
T3 - PRIME - 2008 PhD Research in Microelectronics and Electronics, Proceedings
SP - 225
EP - 228
BT - PRIME - 2008 PhD Research in Microelectronics and Electronics, Proceedings
T2 - PRIME - 4th Ph.D. Research in Microelectronics and Electronics Conference 2008
Y2 - 22 June 2008 through 25 June 2008
ER -