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Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey
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 appl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864676/ https://www.ncbi.nlm.nih.gov/pubmed/31689946 http://dx.doi.org/10.3390/s19214790 |
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author | Zhang, Yongjun Xin, Jingjie |
author_facet | Zhang, Yongjun Xin, Jingjie |
author_sort | Zhang, Yongjun |
collection | PubMed |
description | 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 k-node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on k-node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement k-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. |
format | Online Article Text |
id | pubmed-6864676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68646762019-12-23 Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey Zhang, Yongjun Xin, Jingjie Sensors (Basel) Review 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 k-node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on k-node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement k-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. MDPI 2019-11-04 /pmc/articles/PMC6864676/ /pubmed/31689946 http://dx.doi.org/10.3390/s19214790 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zhang, Yongjun Xin, Jingjie Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title | Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title_full | Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title_fullStr | Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title_full_unstemmed | Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title_short | Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey |
title_sort | survivable deployments of optical sensor networks against multiple failures and disasters: a survey |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864676/ https://www.ncbi.nlm.nih.gov/pubmed/31689946 http://dx.doi.org/10.3390/s19214790 |
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