PMID- 31689946
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20191113
LR  - 20200108
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 19
IP  - 21
DP  - 2019 Nov 4
TI  - Survivable Deployments of Optical Sensor Networks against Multiple Failures and 
      Disasters: A Survey.
LID - 10.3390/s19214790 [doi]
LID - 4790
AB  - 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.
FAU - Zhang, Yongjun
AU  - Zhang Y
AD  - State Key Laboratory of Information Photonics and Optical Communications, Beijing 
      University of Posts and Telecommunications, Beijing 100876, China. 
      yjzhang@bupt.edu.cn.
FAU - Xin, Jingjie
AU  - Xin J
AD  - State Key Laboratory of Information Photonics and Optical Communications, Beijing 
      University of Posts and Telecommunications, Beijing 100876, China. 
      jingjiex@bupt.edu.cn.
LA  - eng
GR  - 61701039/National Natural Science Foundation of China/
GR  - 61622102/National Science Foundation for Outstanding Youth Scholars of China/
PT  - Journal Article
PT  - Review
DEP - 20191104
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC6864676
OTO - NOTNLM
OT  - artificial intelligence (AI)
OT  - disaster-resilience
OT  - k-node (edge) sensing connectivity
OT  - network survivability
OT  - optical networks
OT  - optical sensing
OT  - optical sensor networks (OSNs)
COIS- The authors declare no conflicts of interest.
EDAT- 2019/11/07 06:00
MHDA- 2019/11/07 06:01
PMCR- 2019/11/01
CRDT- 2019/11/07 06:00
PHST- 2019/09/26 00:00 [received]
PHST- 2019/10/28 00:00 [revised]
PHST- 2019/10/29 00:00 [accepted]
PHST- 2019/11/07 06:00 [entrez]
PHST- 2019/11/07 06:00 [pubmed]
PHST- 2019/11/07 06:01 [medline]
PHST- 2019/11/01 00:00 [pmc-release]
AID - s19214790 [pii]
AID - sensors-19-04790 [pii]
AID - 10.3390/s19214790 [doi]
PST - epublish
SO  - Sensors (Basel). 2019 Nov 4;19(21):4790. doi: 10.3390/s19214790.