Modeling and performance analysis of multihop underwater optical wireless sensor networks
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-06-11Online Publication Date
2018-06-11Print Publication Date
2018-04Permanent link to this record
http://hdl.handle.net/10754/630429
Metadata
Show full item recordAbstract
Underwater optical wireless networks (UOWNs) have recently gained attention as an emerging solution to the growing demand for broadband connectivity. Even though it is an alternative to low-bandwidth and high-latency acoustic systems, underwater optical wireless communications (UOWC) suffers from limited range and requires effective multi-hop solutions. Therefore, this paper analyzes and compares the performance of multihop underwater optical wireless networks under two relaying schemes: Decode & Forward (DF) and Amplify & Forward (AF). Noting that nodes close to the surface sink (SS) are required to relay more information, these nodes are enabled for retro-reflective communication, where SS illuminates these nodes with a continuous-wave beam which is then modulated and reflected back to the SS receivers. Accordingly, we analytically evaluate important performance metrics including end-to-end bit error rate, achievable multihop data rates, and communication ranges between node pairs. Thereafter, we develop routing algorithms for DF and AF schemes in order to maximize the end-to-end performance metrics. Numerical results demonstrate that multi-hop transmission can significantly enhance the network performance and expand the communication range.Citation
Celik A, Saeed N, Al-Naffouri TY, Alouini M-S (2018) Modeling and performance analysis of multihop underwater optical wireless sensor networks. 2018 IEEE Wireless Communications and Networking Conference (WCNC). Available: http://dx.doi.org/10.1109/WCNC.2018.8377388.Conference/Event name
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018Additional Links
https://ieeexplore.ieee.org/document/8377388/ae974a485f413a2113503eed53cd6c53
10.1109/WCNC.2018.8377388