The Partial Power Control Algorithm of Underwater Acoustic Sensor Networks Based on Outage Probability Minimization
Clicks: 509
ID: 43708
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
70.7
/100
509 views
356 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 73 articles by views in international journal of distributed sensor networks
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The high outage probability of an underwater wireless sensor may lead to high energy consumption. How to reduce the outage probability should be considered for underwater acoustic sensor networks (UASNs), where battery change is very difficult. Power control, which is one of the technologies to effectively reduce the outage probability, has also been developed for UASNs. However, when using the power control method with the maximum power to transmit packets, the slow fading of the signal in UASNs leads to serious accumulative interference in the receiver, which in turn leads to an even higher outage probability. Another challenge in UASNs is the complex acoustic channel condition with time-space-frequency variation and uncertain TL, which make it difficult to obtain the channel status information (CSI). To address these issues, a novel partial power control (PPC) algorithm based on outage probability minimization in UASNs is proposed. The proposed algorithm captures transmission loss (TL) using the Markov chain Monte Carlo (MCMC) method and estimates CSI in the next moment using AR prediction. The simulation results show that the proposed algorithm can effectively reduce the accumulative interference to the receiver and then reduce the outage probability by 19.3% at the maximum.
| Reference Key |
li2016theinternational
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Li, Yun;Su, Yishan;Jin, Zhigang;Chakravarty, Sumit; |
| Journal | international journal of distributed sensor networks |
| Year | 2016 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.