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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Babiker, A.E. Zakaria, M.N.B. |
| Copyright Year | 2010 |
| Description | Author affiliation: Computer and Information Science Dept, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak, Malaysia (Babiker, A.E.; Zakaria, M.N.B.) |
| Abstract | Research in underwater acoustic networks has developed quickly to support large variety of applications such as mining equipment and environmental monitoring. As in terrestrial sensor networks; reliable data transport is demanded in underwater sensor networks. The energy efficiency of error correction techniques should be considered because of the severe energy constraints of underwater wireless sensor networks. FEC and ARQ are the two main error correction techniques in underwater networks. In this paper, a mathematical energy efficiency analysis for FEC and ARQ techniques in underwater environment is done based on communication distance, packet size and wind speed. And a comparison between FEC and ARQ in terms of energy efficiency is done, it was found that energy efficiency of both techniques increases with increasing packet size in short distances, but decreases in longer distances. There is also a cutoff distance below which ARQ is more energy efficient than FEC, and after which FEC is more energy efficient than ARQ. Wind speed has great effect on energy efficiency and on cutoff distance for both techniques. Based on this analysis an efficient energy two mode error correction technique is proposed, this technique depends on RTT, distance, packet size, and the energy level in the nodes to determine where and how error can be corrected. |
| Starting Page | 580 |
| Ending Page | 585 |
| File Size | 1736618 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424467150 |
| ISSN | 2155899X |
| e-ISBN | 9781424467181 |
| DOI | 10.1109/ITSIM.2010.5561524 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-15 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | ARQ FEC underwater communications energy efficiency error correction techniques Lead Automatic repeat request Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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