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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Hybrid ant colony-based inter-cluster routing protocol for FANET.

Siwei Yang¹, Shu Wang¹, Tingli Li¹

¹School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, China.

Scientific Reports

|July 7, 2024

Summary

This study introduces an innovative inter-cluster routing protocol (ICRP) for unmanned aerial vehicle (UAV) clusters. ICRP enhances scalability and network performance by using a hybrid ant colony algorithm for optimal routing and dynamic route maintenance.

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Area of Science:

Computer Science
Network Engineering
Artificial Intelligence

Background:

Large-scale unmanned aerial vehicle (UAV) clusters face scalability challenges with traditional reactive routing protocols.
Existing protocols burden cluster heads and struggle with dynamic network topologies, reducing performance.

Purpose of the Study:

To propose an innovative inter-cluster routing protocol (ICRP) for UAV clusters.
To address limitations in scalability and adaptability of current routing methods.

Main Methods:

Developed an ICRP utilizing a hybrid ant colony algorithm inspired by Physarum polycephalum foraging behavior.
Route establishment identifies optimal relay nodes considering hops, load, and pheromone weight.
Route maintenance employs predictive repair and contraction for dynamic route adjustments.

Main Results:

ICRP demonstrated superior packet delivery rate compared to AODV, fuzzy-logic-assisted-AODV, and Enhanced-Ant-AODV.
The protocol achieved lower end-to-end transmission delay in simulations.
ICRP showed enhanced adaptability in high-speed UAV mobility scenarios.

Conclusions:

The proposed ICRP effectively overcomes scalability and adaptability issues in UAV cluster networks.
The hybrid ant colony approach offers significant improvements in network performance and robustness.