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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks.

Danfeng Zhao1, Guiyang Lun1, Rui Xue1

  • 1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China.

Sensors (Basel, Switzerland)
|June 2, 2021
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Summary

A new Cross-Layer-Aided Opportunistic Routing Protocol (CLOR) reduces congestion in underwater wireless sensor networks (UWSNs). This protocol optimizes forwarder selection and uses burst transmission with network coding for improved performance.

Keywords:
cross-layer routingfuzzy logicnetwork codingopportunistic routingunderwater wireless sensor networks

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Area of Science:

  • Oceanography
  • Computer Science
  • Network Engineering

Background:

  • Underwater wireless sensor networks (UWSNs) offer an alternative to traditional wireline instruments for ocean monitoring.
  • Existing routing protocols struggle with the dynamic underwater environment, necessitating adaptive solutions.
  • Opportunistic Routing (OR) protocols adapt to time-varying channels by establishing routes per transmission.

Purpose of the Study:

  • To propose a Cross-Layer-Aided Opportunistic Routing Protocol (CLOR) for multi-hop sparse UWSNs.
  • To address and mitigate the congestion problem in UWSNs, particularly at high traffic loads.
  • To enhance the overall network performance of UWSNs through an optimized routing strategy.

Main Methods:

  • Developed CLOR, a protocol with distinct negotiation and transmission phases.
  • Utilized fuzzy logic and cross-layer information during the negotiation phase to select optimal forwarder nodes.
  • Implemented a burst transmission strategy combined with network coding in the transmission phase to boost performance.

Main Results:

  • CLOR demonstrated significant improvements in network performance across various traffic rates.
  • The protocol effectively reduced congestion in simulated multi-hop sparse UWSNs.
  • Simulation results confirmed CLOR's superiority over existing protocols in underwater environments.

Conclusions:

  • The proposed CLOR protocol is an effective solution for congestion reduction in UWSNs.
  • Cross-layer design combined with opportunistic routing and advanced transmission strategies enhances UWSN performance.
  • CLOR offers a promising approach for reliable underwater data transmission and exploration.