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光学传感器网络在多重故障和灾难下的生存部署:调查。

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

机构信息

State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.

出版信息

Sensors (Basel). 2019 Nov 4;19(21):4790. doi: 10.3390/s19214790.

DOI:10.3390/s19214790
PMID:31689946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6864676/
Abstract

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.

摘要

光传感集通信和传感功能于一体,在军事和民用领域的应用中发挥着越来越重要的作用。将光传感和光通信相结合,承担高速、大容量应用和传感数据传输任务的光传感器网络(OSN)已成为一种重要的通信基础设施。然而,OSN 中的多次故障和灾难会导致严重的传感配置问题。为了确保传感数据传输的连续性,生存能力一直是一个重要的研究重点。本文重点研究针对多种故障和灾难的 OSN 的生存能力部署。我们首先回顾和评估了现有的针对或应用于 OSN 的生存能力技术,例如光纤总线保护、自愈架构和 1+1 保护。然后,我们详细阐述了 OSN 的抗灾生存能力要求。此外,我们提出了新的节点(边缘)传感连接性概念,该概念确保了传感数据和用户之间的连接。基于节点(边缘)传感连接性,开发了抗灾生存能力技术。实现节点(边缘)传感连接性所需的关键技术也进行了阐述。最近,人工智能(AI)发展迅速。它可以用于提高 OSN 的生存能力。本文详细介绍了 AI 应用于 OSN 中光传感生存能力技术的潜在发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/9b8fdfce6145/sensors-19-04790-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/41ded6efcb00/sensors-19-04790-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/085b3ef648ab/sensors-19-04790-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/79b62f6f936f/sensors-19-04790-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/9b8fdfce6145/sensors-19-04790-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/41ded6efcb00/sensors-19-04790-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/12b177864e57/sensors-19-04790-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/9fb0964d012b/sensors-19-04790-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/52332482e239/sensors-19-04790-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/476c7e162115/sensors-19-04790-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/085b3ef648ab/sensors-19-04790-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc6b/6864676/79b62f6f936f/sensors-19-04790-g008.jpg
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本文引用的文献

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