Capacity Scaling Laws for Underwater Networks
Name
0903.4426.pdf
Description
Submitted version
Size
208.07 KB
Format
Adobe PDF
Checksum (MD5)
8edbb33fc1d60edffd69b8afc8f7f744
Author(s)
Lucani, Daniel E
Médard, Muriel
Stojanovic, Milica
Date Issued
2013
Journal
Internet Mathematics
Publisher
Internet Mathematics
Version
Original manuscript
Abstract
© Taylor & Francis Group, LLC. The underwater acoustic channel is characterized by a path loss that depends not only on the transmission distance, but also on signal frequency. Signals transmitted from one user to another over a distance l are subject to a power loss of l−α a(f)−l. Although a terrestrial radio channel can be modeled similarly, the underwater acoustic channel has different characteristics. The spreading factor α, related to the geometry of propagation, has values in the range 1 ≤ α ≤ 2. The absorption coefficient a(f) is a rapidly increasing function of frequency: it is three orders of magnitude greater at 100 kHz than at a few hertz. Existing results for capacity of radio wireless networks correspond to scenarios for which a(f) = 1, or a constant greater than one, and α ≥ 2. These results cannot be applied to underwater acoustic networks in which the attenuation varies over the system bandwidth. We use a water-filling argument to assess the minimal transmission power and optimal transmission band as functions of the link distance and desired data rate, and study the capacity scaling laws under this model. We show that the transport capacity increases at most at a rate n1−1/α e−W0 (O (n −1/ α)), where W0 represents the branch zero of the Lambert W function, for the cases in which the transmission band is either fixed a priori or assigned in relation to the transmission distance. This means that the transport capacity increases much more slowly than that of multihop routing in wireless scenarios, which is bounded by O(n1/2). Finally, we show that scaling the frequency of the transmission band with the number of nodes provides a means to exploit characteristics of the acoustic channel in order to overcome the previous pessimistic results.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1080/15427951.2012.720481
