Development and optimization of a Bluetooth Low Energy (BLE) Mesh network for environmental monitoring and alerting
Mohamed Mahmud, Ali (2024)
Mohamed Mahmud, Ali
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024090424735
https://urn.fi/URN:NBN:fi:amk-2024090424735
Tiivistelmä
This thesis presents the design, implementation, and optimization of a Bluetooth Low Energy (BLE) Mesh network using Nordic Semiconductor nRF52-DK boards for real-time environmental monitoring. The research focuses on developing firmware and integrating communication protocols to ensure efficient and reliable data transfer across the network. The key objectives include optimizing the network's scalability and reliability, evaluated through practical experiments.
The study systematically assesses the Packet Loss Ratio (PLR) at each network node, identifying potential bottlenecks and inefficiencies that could hinder large-scale deployments. To this end, four scenarios were tested: (1) a single link performance with one broadcaster and 3 listeners, (2) a chain topology with one broadcaster, three relays, and one listener, (3) a mesh network with two relays, two listeners and one broadcaster, and (4) a hybrid topology with multi-hop con-figuration with redundant communication pathways. These scenarios were de-signed to analyze the impact of relay effectiveness, multipath delivery, and multi-hop communication on network performance in both outdoor and indoor environments.
The results indicate that the optimized BLE Mesh network architecture significantly enhances data accuracy, reliability, and scalability, making it well-suited for environmental monitoring applications. The practical experiments validate the network's real-world functionality and demonstrate its potential for integration into larger IoT systems.
In conclusion, this thesis advances BLE Mesh networking technology by providing scalable, reliable solutions for environmental monitoring, with broader implications for industries such as smart buildings and industrial facilities.
The study systematically assesses the Packet Loss Ratio (PLR) at each network node, identifying potential bottlenecks and inefficiencies that could hinder large-scale deployments. To this end, four scenarios were tested: (1) a single link performance with one broadcaster and 3 listeners, (2) a chain topology with one broadcaster, three relays, and one listener, (3) a mesh network with two relays, two listeners and one broadcaster, and (4) a hybrid topology with multi-hop con-figuration with redundant communication pathways. These scenarios were de-signed to analyze the impact of relay effectiveness, multipath delivery, and multi-hop communication on network performance in both outdoor and indoor environments.
The results indicate that the optimized BLE Mesh network architecture significantly enhances data accuracy, reliability, and scalability, making it well-suited for environmental monitoring applications. The practical experiments validate the network's real-world functionality and demonstrate its potential for integration into larger IoT systems.
In conclusion, this thesis advances BLE Mesh networking technology by providing scalable, reliable solutions for environmental monitoring, with broader implications for industries such as smart buildings and industrial facilities.
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