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On Reliable and Efficient Data Gathering Based Routing in Underwater Wireless Sensor Networks.

Tayyaba Liaqat1, Mariam Akbar2, Nadeem Javaid3

  • 1Institute of Space Technology, Islamabad 44000, Pakistan. tayyaba.bet091@gmail.com.

Sensors (Basel, Switzerland)
|September 3, 2016
PubMed
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This study introduces a cooperative routing scheme for enhanced data reliability in wireless networks. Sink mobility and optimized versions minimize energy consumption, improving overall network performance.

Area of Science:

  • Computer Science
  • Wireless Communication Networks

Background:

  • Wireless sensor networks (WSNs) face challenges in data reliability and energy efficiency.
  • Existing routing protocols often lead to increased energy consumption for data transmission.

Purpose of the Study:

  • To propose a cooperative routing scheme (RE-AEDG) to improve data reliability in WSNs.
  • To address the energy consumption issue by introducing sink mobility.
  • To develop optimized versions for further performance enhancement.

Main Methods:

  • Implementing a cooperative routing protocol (RE-AEDG) for enhanced data transmission.
  • Integrating sink mobility to reduce communication distances and energy costs.
  • Developing delay and energy-optimized variants of the RE-AEDG protocol.
Keywords:
autonomous underwater vehiclecooperative communicationdelay optimizationdiversityenergy optimizationmobile sinkreliabilityrouting protocolthroughput efficiencyunderwater wireless sensor networks

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Main Results:

  • The proposed RE-AEDG protocol successfully improves data reliability.
  • Sink mobility significantly minimizes the energy consumption of network nodes.
  • Optimized versions demonstrate enhanced performance in terms of delay and energy efficiency.

Conclusions:

  • The RE-AEDG protocol with sink mobility offers an effective solution for reliable and energy-efficient WSNs.
  • The optimized versions further boost performance, making the protocol suitable for various applications.
  • Simulation results validate the effectiveness of the proposed approach for key performance metrics.