Enhancing Fast Network Recovery in LoRaWAN: Implementing Bidirectional Forwarding Detection in OMNeT++
The paper analyses new techniques in the field of fast network recovery. It addresses the issues of network convergence, fast network recovery, and mechanisms designed for fast network recovery – Fast Reroute, which minimizes the impacts of outages. The paper describes LoRa technology and...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10993405/ |
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| Summary: | The paper analyses new techniques in the field of fast network recovery. It addresses the issues of network convergence, fast network recovery, and mechanisms designed for fast network recovery – Fast Reroute, which minimizes the impacts of outages. The paper describes LoRa technology and its communication protocol, LoRaWAN, which is used mainly in smart cities. The article deals with integrating fast link failure detection in the LoRaWAN network. We address increasing availability in the LoRaWAN network and implement the fast failure detection mechanism, Bidirectional Forwarding Detection (BFD), in the OMNeT++ simulation environment. The implementation is done by modifying and supplementing the source code for the FLoRa simulation framework. BFD accelerates network failure detection in LoRaWAN and reduces packet loss by redirecting to a backup route. |
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| ISSN: | 2169-3536 |