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An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks.

Nadeem Javaid1, Naveed Ilyas2, Ashfaq Ahmad3

  • 1COMSATS Institute of Information Technology, Park Road, Islamabad 44000, Pakistan. nadeemjavaidqau@gmail.com.

Sensors (Basel, Switzerland)
|November 24, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an Autonomous Underwater Vehicle (AUV)-aided efficient data-gathering (AEDG) routing protocol for reliable underwater wireless sensor networks (UWSNs). AEDG enhances network lifetime and data delivery efficiency without costly mobile sensors.

Keywords:
autonomous underwater vehiclelifetimemobile sinkrouting protocolunderwater wireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Oceanography

Background:

  • Underwater wireless sensor networks (UWSNs) face significant routing challenges due to the harsh underwater environment.
  • Existing UWSN routing protocols often rely on costly mobile sensors or mobile sinks for data gathering.
  • There is a need for cost-effective and efficient routing protocols for reliable data delivery in UWSNs.

Purpose of the Study:

  • To propose an Autonomous Underwater Vehicle (AUV)-aided efficient data-gathering (AEDG) routing protocol for UWSNs.
  • To enhance network lifetime and ensure reliable data delivery in challenging underwater conditions.
  • To reduce deployment costs associated with mobile sensors or sinks.

Main Methods:

  • AEDG utilizes an AUV for data collection from gateway nodes, employing a shortest path tree (SPT) algorithm for node association.
  • Gateway node association is limited to minimize energy consumption and prevent gateway overload.
  • Gateway rotation and dynamic data collection by the AUV are implemented to prevent data loss and balance energy consumption.
  • A connected dominating set (CDS) is used to optimize the AUV's trajectory for maximum network throughput.

Main Results:

  • Simulations demonstrate the effectiveness of the AEDG protocol in improving network lifetime and data delivery reliability.
  • AEDG shows superior performance compared to two existing UWSN routing protocols across key performance metrics.
  • The protocol successfully balances energy consumption and prevents data loss through dynamic data collection and gateway rotation.

Conclusions:

  • The proposed AEDG protocol offers a cost-effective and efficient solution for reliable data gathering in UWSNs.
  • AUV integration and optimized routing strategies significantly enhance UWSN performance and longevity.
  • AEDG provides a viable alternative to traditional UWSN routing schemes that require expensive mobile infrastructure.