Delay Optimization in Remote ID-Based UAV Communication via BLE and Wi-Fi Switching

Fuente: arXiv
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Autori principali: Zhu, Yian, Jia, Ziye, Zhang, Lei, Wu, Yao, Zhu, Qiuming, Wu, Qihui
Natura: Preprint
Pubblicazione: 2025
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author Zhu, Yian
Jia, Ziye
Zhang, Lei
Wu, Yao
Zhu, Qiuming
Wu, Qihui
author_facet Zhu, Yian
Jia, Ziye
Zhang, Lei
Wu, Yao
Zhu, Qiuming
Wu, Qihui
contents The remote identification (Remote ID) broadcast capability allows unmanned aerial vehicles (UAVs) to exchange messages, which is a pivotal technology for inter-UAV communications. Although this capability enhances the operational visibility, low delay in Remote ID-based communications is critical for ensuring the efficiency and timeliness of multi-UAV operations in dynamic environments. To address this challenge, we first establish delay models for Remote ID communications by considering packet reception and collisions across both BLE 4 and Wi-Fi protocols. Building upon these models, we formulate an optimization problem to minimize the long-term communication delay through adaptive protocol selection. Since the delay performance varies with the UAV density, we propose an adaptive BLE/Wi-Fi switching algorithm based on the multi-agent deep Q-network approach. Experimental results demonstrate that in dynamic-density scenarios, our strategy achieves 32.1% and 37.7% lower latency compared to static BLE 4 and Wi-Fi modes respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2506_07715
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Delay Optimization in Remote ID-Based UAV Communication via BLE and Wi-Fi Switching
Zhu, Yian
Jia, Ziye
Zhang, Lei
Wu, Yao
Zhu, Qiuming
Wu, Qihui
Networking and Internet Architecture
Systems and Control
The remote identification (Remote ID) broadcast capability allows unmanned aerial vehicles (UAVs) to exchange messages, which is a pivotal technology for inter-UAV communications. Although this capability enhances the operational visibility, low delay in Remote ID-based communications is critical for ensuring the efficiency and timeliness of multi-UAV operations in dynamic environments. To address this challenge, we first establish delay models for Remote ID communications by considering packet reception and collisions across both BLE 4 and Wi-Fi protocols. Building upon these models, we formulate an optimization problem to minimize the long-term communication delay through adaptive protocol selection. Since the delay performance varies with the UAV density, we propose an adaptive BLE/Wi-Fi switching algorithm based on the multi-agent deep Q-network approach. Experimental results demonstrate that in dynamic-density scenarios, our strategy achieves 32.1% and 37.7% lower latency compared to static BLE 4 and Wi-Fi modes respectively.
title Delay Optimization in Remote ID-Based UAV Communication via BLE and Wi-Fi Switching
topic Networking and Internet Architecture
Systems and Control
url https://arxiv.org/abs/2506.07715