Demo: B.A.T.M.A.N. Mesh Routing on Ultra Low-Power IEEE 802.11 Modules

When implementing multi-hop mesh network protocols, efficient direct communication, route discovery, and route repair are crucial to achieve high network throughput. To our knowledge, there is no open mesh routing protocol available for ultra low power IEEE 802.11 modules. Previous work relied on single board computers like Raspberry Pi. We implemented the B.A.T.M.A.N. mesh protocol on the popular Espressif ESP32 along with a novel hybrid rate adaptation for the selection of efficient routes. In this demo we showcase challenges and solutions related to the implementation on ESP32 and how the hybrid rate adaptation improves end-to-end throughput.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/lcn60385.2024.10639789
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Demo: B.A.T.M.A.N. Mesh Routing on Ultra Low-Power IEEE 802.11 Modules

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Wireless Networks and Protocols
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Demo: B.A.T.M.A.N. Mesh Routing on Ultra Low-Power IEEE 802.11 Modules

Reinhardt Karnapke, Matthias Werner, Billy Naumann, Randolf Rotta, Jörg Nolte, Navya Sneha Chatharajupalli, Julius Schulz
article en

Abstract

When implementing multi-hop mesh network protocols, efficient direct communication, route discovery, and route repair are crucial to achieve high network throughput. To our knowledge, there is no open mesh routing protocol available for ultra low power IEEE 802.11 modules. Previous work relied on single board computers like Raspberry Pi. We implemented the B.A.T.M.A.N. mesh protocol on the popular Espressif ESP32 along with a novel hybrid rate adaptation for the selection of efficient routes. In this demo we showcase challenges and solutions related to the implementation on ESP32 and how the hybrid rate adaptation improves end-to-end throughput.

Chemnitz University of Technology (DE), Brandenburg University of Technology Cottbus-Senftenberg (DE)
Affordable and clean energy
Openalex Percentile: Top 84%
Wireless Networks and Protocols
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