Dynamic clustering based risk aware congestion control technique for vehicular network

  • 0ITM University, Gwalior, Madhya Pradesh, India. bhupendradhakad.ece@itmuniversity.ac.in.

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Summary

This summary is machine-generated.

This study introduces dynamic grouping of vehicles for safety (DGVS) to reduce network congestion in vehicular ad hoc networks (VANETs). DGVS significantly decreases traffic and communication delays, improving overall network performance for intelligent transportation systems.

Area Of Science

  • Intelligent Transportation Systems (ITS)
  • Vehicular Ad Hoc Networks (VANETs)
  • Network Congestion Mitigation

Background

  • Vehicular ad hoc networks (VANETs) are crucial for road safety and advanced services within intelligent transportation systems (ITS).
  • Network congestion in VANETs poses a significant challenge to efficient data transfer and safety applications.
  • Existing methods often struggle to balance performance with congestion reduction.

Purpose Of The Study

  • To propose and evaluate a novel approach, dynamic grouping of vehicles for safety (DGVS), for mitigating network congestion in VANETs.
  • To enhance communication efficiency and reduce latency by enabling direct vehicle-to-vehicle communication within defined groups.
  • To optimize transmission rates based on channel conditions for balanced packet delivery and congestion control.

Main Methods

  • Implementation of dynamic grouping of vehicles for safety (DGVS) using DBSCAN and K-Means clustering algorithms to create virtual regions.
  • Vehicles communicate directly within their assigned DGVS, avoiding network-wide broadcasts.
  • Assessment of DGVS efficacy through simulation-based studies, comparing performance against existing approaches.

Main Results

  • DGVS significantly reduces network congestion in VANETs compared to traditional methods.
  • Notable improvements in overall network performance, including decreased communication delay.
  • Demonstrated ability to maintain vital data transfer for traffic control and safety applications.

Conclusions

  • The proposed dynamic grouping of vehicles for safety (DGVS) technique is highly effective in reducing VANET congestion.
  • DGVS offers substantial gains in network performance and reduced latency.
  • Potential applications include emergency response, traffic management, and accident prevention in the transportation industry.

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