A Double Reference Nodes Based Resilience Topology Management for Energy-Efficient FANET

In a Flying Ad-hoc Network (FANET), the resilience of a network is defined as the ability to rebound from a threat event. The bi-connectivity of topology which can keep the network connected after a single unmanned aerial vehicle (UAV) fails, is an important feature of resilience. Due to the high dynamic and the limited node energy of FANET, it is difficult to generate and maintain the bi-connectivity. In this paper, in order to enhance network resilience, we proposed a distributed energy-efficient bi-connectivity generation and restoration mechanism based on double reference nodes (DEBGR-DRN) through adjusting UAV's transmission power. Our algorithm can save the transmission power and communication cost by selecting the shortest edge to be added and limiting the path length. NS3 network simulations demonstrate the validity of the proposed algorithm.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174421
Primary Topic
Software-Defined Networks and 5G
Type
article
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article

A Double Reference Nodes Based Resilience Topology Management for Energy-Efficient FANET

Zhichao Cao, Hui Tian, Gaofeng Nie
Software-Defined Networks and 5G
article

A Double Reference Nodes Based Resilience Topology Management for Energy-Efficient FANET

Zhichao Cao, Hui Tian, Gaofeng Nie
article en

Abstract

In a Flying Ad-hoc Network (FANET), the resilience of a network is defined as the ability to rebound from a threat event. The bi-connectivity of topology which can keep the network connected after a single unmanned aerial vehicle (UAV) fails, is an important feature of resilience. Due to the high dynamic and the limited node energy of FANET, it is difficult to generate and maintain the bi-connectivity. In this paper, in order to enhance network resilience, we proposed a distributed energy-efficient bi-connectivity generation and restoration mechanism based on double reference nodes (DEBGR-DRN) through adjusting UAV's transmission power. Our algorithm can save the transmission power and communication cost by selecting the shortest edge to be added and limiting the path length. NS3 network simulations demonstrate the validity of the proposed algorithm.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 69%
Software-Defined Networks and 5G
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A Double Reference Nodes Based Resilience Topology Management for Energy-Efficient FANET — Zhichao Cao, Hui Tian, et al. · (2025) | TGRS Research Map | TGRS