MultiS-IDRM: An Intelligent Disaster Recovery Mechanism for Multi-Interface Server in Emergency Communication Systems
Multi-interface servers can achieve high bandwidth and reliable transmission through multipath transmission and bandwidth aggregation technologies. These capabilities meet the transmission quality requirements of emergency communication systems. However, it is important that multi-interface servers come with the risk of single-point failures, which significantly limit the reliability of emergency communication systems. Currently, existing solutions encounter challenges in managing the single-point failures of multi-interface servers. In this paper, we analyze the complexity of emergency communication systems, and propose a novel intelligent disaster recovery mechanism called MultiS-IDRM to achieve intelligent disaster recovery for multi-interface servers for the first time. Firstly, we propose a multi-dimensional attribute joint decision model (MDAJD) as the basis for determining the working status of multi-interface servers. Secondly, we design a route encapsulation method applicable to multipath backup scenarios. This method achieves the failover of independent paths with mixed multiple network tunnels. Additionally, we design a server status detection algorithm and an intelligent switching mechanism to realize intelligent switching of multi-interface servers in different application scenarios. Finally, we compare MultiS-IDRM with other protocols, including the Virtual Router Redundancy Protocol, Gateway Loading Balance Protocol, and Hot Standby Redundancy Protocol, in real networks. The experimental results demonstrate that MultiS-IDRM effectively resolves the single-point failure issue of multi-interface servers while enhancing the reliability, invulnerability, and intelligence of emergency communication systems.
Authors
- Wenxuan Qiao (ORCID: https://orcid.org/0000-0003-0301-8196)
- Chengxiao Yu (ORCID: https://orcid.org/0000-0002-9340-4164)
- Ping Dong (ORCID: https://orcid.org/0000-0002-5842-7264)
- Hongke Zhang (ORCID: https://orcid.org/0000-0001-8906-813X)
- Yuyang Zhang (ORCID: https://orcid.org/0000-0002-2244-0125)
- Wenxiao Wang
Institutions
- Beijing Jiaotong University (CN)
- Peng Cheng Laboratory (CN)
Publication Details
- Journal
- IEEE Transactions on Vehicular Technology
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1109/tvt.2025.3597465
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00