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Published on: November 26, 2019
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.
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.
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.
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