Last modified: 2015-11-20
Abstract
Abstract: Wireless sensor networks (WSN) are very simple, cheaper, easy to implement and can be used for the betterment of humanity. A few applications of WSN are environment monitoring, home automation, fire detection, wild life tracking and health care. The WSN uses fixed spectrum assignment policy, this limits the performance in terms of computation power, bandwidth and QoS. J. Mitola was the first person to present the concept of the Cognitive Radio (CR) to overcome the spectrum scarcity problem. It gained so much popularity that a lot of wireless communication problems are being solved with the help of cognition in radio. The sensing and identification of the spectrum hole is the first task performed for the dynamic spectrum management in cognitive wireless sensor networks (CWSN). Dynamic spectrum sharing (DSS) and Dynamic spectrum access (DSA) are also popular research areas depending on spectrum sensing. This paper addresses all possible aspects of spectrum sensing frameworks and techniques in CWSN. For the detection, Neyman-pearson criterion is considered. The spectrum hole detection is achieved using null hypothesis. Some important spectrum sensing techniques are explained like blind spectrum sensing & signal specific spectrum sensing. Also an introduction to cooperative spectrum sensing is presented.
Keywords: Spectrum Sensing, Cognitive radio networks, Wireless sensor networks, energy based spectrum sensing, Eigen-value based spectrum sensing, cooperative spectrum sensing,
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