Next Article in Journal
Energy Efficiency of a Decode-and-Forward Multiple-Relay Network with Rate Adaptive LDPC Codes
Previous Article in Journal
Correction: Kutafina, E.; Laukamp, D.; Bettermann, R.; Schroeder, U.; Jonas, S.M. Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 2016, 16, 1221
Open AccessReview

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

State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(21), 4790; https://doi.org/10.3390/s19214790
Received: 26 September 2019 / Revised: 28 October 2019 / Accepted: 29 October 2019 / Published: 4 November 2019
(This article belongs to the Section Sensor Networks)
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. View Full-Text
Keywords: network survivability; disaster-resilience; optical sensor networks (OSNs); optical sensing; optical networks; k-node (edge) sensing connectivity; artificial intelligence (AI) network survivability; disaster-resilience; optical sensor networks (OSNs); optical sensing; optical networks; k-node (edge) sensing connectivity; artificial intelligence (AI)
Show Figures

Figure 1

MDPI and ACS Style

Zhang, Y.; Xin, J. Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey. Sensors 2019, 19, 4790. https://doi.org/10.3390/s19214790

AMA Style

Zhang Y, Xin J. Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey. Sensors. 2019; 19(21):4790. https://doi.org/10.3390/s19214790

Chicago/Turabian Style

Zhang, Yongjun; Xin, Jingjie. 2019. "Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey" Sensors 19, no. 21: 4790. https://doi.org/10.3390/s19214790

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop