The Research of Cross-Layer Architecture for Cognitive UACN

2013 ◽  
Vol 291-294 ◽  
pp. 2885-2888
Author(s):  
Yi Peng ◽  
Yu Ping Liu ◽  
Hua Long ◽  
Yu Bing Shao

Underwater acoustic communication network (UACN) has been considered as one of the main technologies for underwater communication. But underwater environmental is complex, water is a worse communication medium than the air, and in limited bandwidth. Thus, it is necessary to explore higher communication and network intelligence such as cognitive radio (CR) in UACN. In this paper, a concept of environment-adaptive CR-based UACN is proposed. Furthermore, the design of cross-layer network architecture, cognitive system processing cycle and the obstacle of CR-based UACN realization are described and discussed.

2012 ◽  
Vol 268-270 ◽  
pp. 1697-1700
Author(s):  
Yi Peng ◽  
Hua Long ◽  
Yu Bing Shao

Underwater wireless network (UWN) has been considered as one of the very important technologies for underwater communication, which widely used in scientific research, environmental survey, commercial, military domains, etc. But underwater environmental is complex, water is a worse communication medium than the air, and time-varying in nature. Thus, it is necessary to explore higher communication and network intelligence such as cognitive radio (CR) in UWA. In this paper, a novel environment-adaptive CR-based UWA is proposed. Furthermore, the design of network architecture, cognitive system processing cycle and model of node module are described and discussed.


2013 ◽  
Vol 30 (5) ◽  
pp. 375 ◽  
Author(s):  
Jin-Young Lee ◽  
Nam-Yeol Yun ◽  
Sardorbek Muminov ◽  
Soo-Young Shin ◽  
Young-Sun Ryuh ◽  
...  

In comparison with terrestrial wireless network, underwater communication network for any oceanographic applications have only a few tens of communication nodes. Researchers recently discussed elaborately on network parameters like SNR, throughput, Power optimization etc. However, the variation in finding the optimal frequencies and related bandwidth and its channel capacity with different modelling technique needs specific attention. From the detailed analysis, the optimization of system model also depends on location & distance. Therefore, the research aims to realize a research model in line with the above challenges. Summary relieves that results are very encouraging for any underwater acoustic applications.


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