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A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks.

Ning Li1, Baran Cürüklü2, Joaquim Bastos3

  • 1Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación, Campus Sur Universidad Politécnica de Madrid (UPM), 28031 Madrid, Spain. li.ning@upm.es.

Sensors (Basel, Switzerland)
|May 5, 2017
PubMed
Summary

A new Probabilistic Topology Control (PTC) algorithm enhances underwater robot networks. This method efficiently manages autonomous underwater vehicle (AUV) communication, reducing power adjustments and improving overall network performance for cooperative missions.

Keywords:
AUVprobabilistictopology controltransmission power adjustmentunderwater network

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Area of Science:

  • Robotics
  • Network Engineering
  • Oceanography

Background:

  • Cooperative missions require robust communication networks for autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs), and unmanned surface vehicles (USVs).
  • Traditional terrestrial topology control algorithms are ill-suited for underwater AUV networks due to high mobility, latency, and low bandwidth.
  • Existing methods for adjusting transmission power in AUV networks are often inefficient and costly.

Purpose of the Study:

  • To develop a novel topology control algorithm for underwater cooperative AUV networks.
  • To address the limitations of traditional algorithms in dynamic and challenging underwater environments.
  • To improve the efficiency and reliability of communication within AUV swarms.

Main Methods:

  • Proposed a Probabilistic Topology Control (PTC) algorithm where AUVs probabilistically adjust transmission power based on parameter deviations.
  • Each AUV calculates its transmission power adjustment probability, with larger deviations leading to higher probabilities.
  • Compared the performance of the PTC algorithm against the Fuzzy logic Topology Control (FTC) algorithm through simulations.

Main Results:

  • The Probabilistic Topology Control (PTC) algorithm demonstrated significant efficiency in reducing transmission power adjustments.
  • PTC improved overall network performance metrics in simulated underwater AUV cooperation scenarios.
  • The proposed algorithm offers a viable solution for managing underwater AUV network topology.

Conclusions:

  • The PTC algorithm is an effective approach for topology control in underwater cooperative AUV networks.
  • PTC offers a more energy-efficient and performant solution compared to existing methods.
  • This research contributes to enhancing the accessibility and utility of underwater robotic systems.