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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis.

Gagan Preet Kour Marwah1, Anuj Jain2

  • 1School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India. gaganmarwaha.marwaha@gmail.com.

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|June 18, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces HFSA-VANET, an ensemble machine learning and hybrid metaheuristic routing protocol for vehicular ad hoc networks (VANETs). HFSA-VANET significantly reduces delay and energy consumption while improving throughput for better VANET performance.

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Area of Science:

  • Computer Science
  • Networking
  • Artificial Intelligence

Background:

  • Vehicular Ad Hoc Networks (VANETs) face challenges with high mobility, density, and dynamic spacing.
  • Efficient routing protocols are crucial for VANET performance and service availability.

Purpose of the Study:

  • To develop an improved routing protocol for VANETs using ensemble machine learning and hybrid metaheuristics.
  • To forecast VANET mobility and reduce network latency.

Main Methods:

  • An ensemble-based machine learning technique forecasts VANET mobility.
  • A hybrid metaheuristic algorithm (Seagull Optimization and Artificial Fish Swarm Optimization) is combined with Ensemble Learning for routing.
  • Performance is evaluated using SVM, Nave Bayes, ANN, and Decision Tree, comparing HFSA-VANET with CRSM-VANET.

Main Results:

  • The HFSA-VANET method demonstrated a 33% reduction in delay and an 81% decrease in energy consumption.
  • Throughput increased by 8% compared to CRSM-VANET at 80 nodes.
  • Performance was assessed based on throughput, delay, drop rate, network lifetime, and energy consumption.

Conclusions:

  • The proposed HFSA-VANET approach effectively reduces latency and enhances overall VANET performance.
  • Combining ensemble machine learning with hybrid metaheuristics offers a promising solution for efficient VANET routing.