Cognitive Radio Based Wireless Sensor Network architecture for smart grid utility

Author(s):  
Ashwin Alur Sreesha ◽  
Shashank Somal ◽  
I-Tai Lu
2014 ◽  
Vol 628 ◽  
pp. 218-224 ◽  
Author(s):  
Konstantinos Oikonomou ◽  
George Koufoudakis ◽  
Eleni Kavvadia ◽  
Vassilios Chrissikopoulos

Wireless sensor networks can be beneficial for monitoring ambient vibrations in historical buildings where the installation of traditionally wired system may be either difficult due to wiring difficulties or forbidden due to prohibitive legislation. In this paper, a novel wireless sensor network architecture is presented that is focusing on efficiently monitoring ambient vibrations in historical buildings. Traditional wired monitoring technologies are often difficult to be installed in historical buildings either to high costs for installing the wires or to prohibitive legislations. Employing a wireless system could be beneficial. However, as there is no wireless system of high resolution available in the market, an innovative network architecture is proposed that efficiently combines the benefits of both the wired and wireless systems. The problem of synchronization that this novel architecture introduces, is also discussed in this paper along with a possible solution.


2022 ◽  
Author(s):  
K. Sakthisudhan ◽  
P. Sivakamasundari ◽  
M. Revathi ◽  
R. Shamini ◽  
K. Paul Joshua ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kedir Mamo Besher ◽  
Juan-Ivan Nieto-Hipolito ◽  
Mabel Vazquez Briseno ◽  
Raymundo Buenrostro Mariscal

After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.


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