DocumentCode
2024243
Title
On optimizing the transmission power of multi-hop underwater acoustic networks
Author
Chen Wang ; Yanjun Fang ; Hongmei Zhang
Author_Institution
Dept. of Autom., Wuhan Univ., Wuhan, China
fYear
2012
fDate
12-14 Dec. 2012
Firstpage
120
Lastpage
124
Abstract
This paper analyses how to optimize the transmission power for multi-hop underwater acoustic networks in a rigorous and theoretical way. In practical design, the transmission power is the function of two variables: internode distance d and signal frequency f, and for a prespecified d, there exists an optimal frequency which minimizes the transmission power. A close-form approximation for the optimal frequency as a function of d is obtained using curve-fitting, and the optimal transmission power as a function of only one variable d is deduced. A power-based cost function is proposed for a linear multi-hop network model to identify the minimum number of hops that optimizes the transmission power of the whole link. Besides, two communication strategies, namely direct-access strategy and relay strategy, are investigated in the linear multi-hop scenario to set forth how communication strategy affects the total power consumption. Simulation results show that the strategy which saves more power consumption is relaying, whose savings become more significant at longer distances.
Keywords
approximation theory; curve fitting; power consumption; relay networks (telecommunication); underwater acoustic communication; close-form approximation; communication strategy; curve-fitting; direct-access strategy; internode distance; linear multihop network model; multihop underwater acoustic network; optimal frequency; optimal transmission power; power consumption; power-based cost function; relay strategy; signal frequency; linear multi-hop network; minimum number of hops; optimal frequency; transmission power; underwater acoustic;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks (ICON), 2012 18th IEEE International Conference on
Conference_Location
Singapore
ISSN
1556-6463
Print_ISBN
978-1-4673-4521-7
Type
conf
DOI
10.1109/ICON.2012.6506545
Filename
6506545
Link To Document