scholarly journals Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Sensors ◽  
2013 ◽  
Vol 13 (9) ◽  
pp. 11196-11228 ◽  
Author(s):  
Gyanendra Joshi ◽  
Seung Nam ◽  
Sung Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Research Trends ◽  
Wireless Sensor

Spectrum Sensing in Cognitive Radio Sensor Networks

2014 ◽  
pp. 48-72 ◽  
Author(s):  
Farooq Alam ◽  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Spectrum Sensing ◽  
Wireless Sensor ◽  
Research Issues ◽  
Comprehensive Review ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Core Issues

In this chapter, the authors provide a comprehensive review of spectrum sensing in cognitive radio sensor networks. Firstly, they focus on general techniques utilized for spectrum sensing in wireless sensor networks. To have good understanding of core issues of spectrum sensing, the authors then give a brief description of cognitive radio networks. Then they give a thorough description of the main techniques that can be helpful in doing spectrum sensing in cognitive radio sensor network. The authors conclude this chapter with open research issues and challenges that need to be addressed to provide efficient spectrum sensing in order to minimize the limitations in cognitive radio sensor networks.

Applications of Independent Component Analysis in Cognitive Radio Sensor Networks

2016 ◽  
pp. 1173-1202
Author(s):  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal ◽  
Farooq Alam ◽  
Sadiq Ahmad
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Independent Component Analysis ◽  
Cognitive Radio Networks ◽  
Component Analysis ◽  
Radio Networks ◽  
Independent Component ◽  
Wireless Sensor ◽  
Cognitive Radio Sensor Networks

Independent component analysis is extensively used for blind source separation of different signals in various engineering disciplines. It has its applications in several areas of communication, multiple input multiple output, orthogonal frequency division multiplexing, wireless sensor networks, and cognitive radio networks. In this chapter, the authors discuss the general theory of independent component analysis, wireless sensor networks, cognitive radio networks, and cognitive radio sensor networks. The main focus of the chapter is the application of independent component analysis in cognitive radio networks, wireless sensor networks, and cognitive radio sensor networks. The issues and challenges of these emerging technologies are discussed while applying independent component analysis. Cognitive radio sensor network is a promising technology to efficiently resolve the issues of spectrum usage in sensor networks. The authors are the first to discuss the applications of independent component analysis in cognitive radio sensor networks. At the end of this chapter, they discuss some future research problems regarding the applications of independent component analysis in cognitive radio sensor networks.

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