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SHARP-AODV: An Intelligent Adaptive Routing Protocol for Highly Mobile Autonomous Aerial Vehicle (AAV) Networks.

Nguyen Duc Tu1, Ammar Muthanna2, Abdukodir Khakimov2

  • 1Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint Petersburg 193232, Russia.

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Summary
This summary is machine-generated.

This study introduces SHARP-AODV, a new routing protocol for Autonomous Aerial Vehicle (AAV) networks. It significantly enhances packet delivery and throughput while reducing delay for real-time applications.

Keywords:
6GAutonomous Aerial Vehicles (AAVs)MetaverseQuality of Service (QoS)SHARP-AODVad hoc networksadaptive routingedge computinglow latency

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Area of Science:

  • Computer Science
  • Network Engineering
  • Robotics

Background:

  • Ad hoc networks using Autonomous Aerial Vehicles (AAVs) are crucial for real-time applications and edge computing.
  • Existing routing protocols struggle with the dynamic topology and high speeds inherent in AAV networks.

Purpose of the Study:

  • To develop an enhanced routing protocol, SHARP-AODV, tailored for the unique challenges of AAV networks.
  • To improve performance metrics like packet delivery ratio, throughput, delay, and jitter in AAV communication.

Main Methods:

  • Introduced SHARP-AODV with an intelligent RREQ dissemination mechanism (neighbor density control + multi-parameter probabilistic model).
  • Implemented a multi-criteria path selection considering hop count, link quality, and resource state.
  • Conducted simulations using NS-3 across diverse mobility models and AAV node counts.

Main Results:

  • SHARP-AODV demonstrated significant improvements over standard AODV.
  • Achieved up to 23.9% higher packet delivery ratio (PDR) and 61% increased throughput.
  • Reduced end-to-end delay by up to 87.8% and jitter by up to 90.6%.

Conclusions:

  • SHARP-AODV is highly suitable for low-latency, reliable AAV-enabled edge computing and Metaverse applications.
  • The protocol meets 6G network requirements, enabling AAVs in smart cities, environmental monitoring, and VR/AR systems.