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Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

机译:针对多种故障和灾难的光传感器网络的可持续部署:一项调查

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摘要

Optical sensing that integrates communication and sensing functions is playing a more and more important role in both military and civil applications. Incorporating optical sensing and optical communication, optical sensor networks (OSNs) that undertake the task of high-speed and large-capacity applications and sensing data transmissions have become an important communication infrastructure. However, multiple failures and disasters in OSNs can cause serious sensing provisioning problems. To ensure uninterrupted sensing data transmission, survivability has always been an important research emphasis. This paper focuses on the survivable deployment of OSNs against multiple failures and disasters. We first review and evaluate the existing survivability technologies developed for or applied to OSNs, such as fiber bus protection, self-healing architecture, and 1 + 1 protection. We then elaborate on the disaster-resilient survivability requirement of OSNs. Moreover, we propose a new -node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on -node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement -node (edge) sensing connectivity are also elaborated. Recently, artificial intelligence (AI) has developed rapidly. It can be used to improve the survivability of OSNs. This paper details potential development directions of survivability technologies of optical sensing in OSNs employing AI.
机译:集成通信和传感功能的光学传感在军事和民用应用中都扮演着越来越重要的角色。结合了光学传感和光学通信的功能,承担高速和大容量应用程序以及传感数据传输任务的光学传感器网络(OSN)已成为重要的通信基础设施。但是,OSN中的多次故障和灾难可能会导致严重的感知配置问题。为了确保传感数据的传输不中断,生存能力一直是研究的重点。本文重点介绍针对多种故障和灾难的OSN生存部署。我们首先回顾和评估为OSN开发或应用于OSN的现有生存能力技术,例如光纤总线保护,自我修复体系结构和1 +1保护。然后,我们详细介绍了OSN的灾难恢复生存能力要求。此外,我们提出了一种新的节点(边缘)传感连接概念,可确保传感数据与用户之间的连接。基于节点(边缘)感知连接,开发了具有灾难恢复能力的技术。还详细介绍了实现节点(边缘)感测连接所需的关键技术。近来,人工智能(AI)发展迅速。它可以用来提高OSN的生存能力。本文详细介绍了使用AI的OSN中光学传感可生存性技术的潜在发展方向。

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