A QoS-aware underwater optimization framework for inter-vehicle communication using acoustic directional transducers

Baozhi Chen, Dario Pompili

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Underwater acoustic communications consume a significant amount of energy due to the high transmission power (10-50 W) and long data packet transmission times (0.1-1 s). Mobile Autonomous Underwater Vehicles (AUVs) can conserve energy by waiting for the 'best' network topology configuration, e.g., a favorable alignment, before starting to communicate. Due to the frequency-selective underwater acoustic ambient noise and high medium power absorption-which increases exponentially with distance-a shorter distance between AUVs translates into a lower transmission loss and a higher available bandwidth. By leveraging the predictability of AUV trajectories, a novel solution is proposed that optimizes communications by delaying packet transmissions in order to wait for a favorable network topology (thus trading end-to-end delay for energy and/or throughput). In addition, the solution proposed-which is implemented and compared with geographic routing solutions and delay-tolerant networking solutions using an emulator that integrates underwater acoustic WHOI Micro-Modems-exploits the frequency-dependent radiation pattern of underwater acoustic transducers to reduce communication energy consumption by adjusting the transducer directivity on the fly.

Original languageEnglish (US)
Article number6776595
Pages (from-to)2490-2504
Number of pages15
JournalIEEE Transactions on Wireless Communications
Volume13
Issue number5
DOIs
StatePublished - May 2014

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Underwater acoustic sensor networks
  • autonomous underwater vehicles
  • position uncertainty

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