Novel Spectrum Sensing Technique and Its Evaluation for Cognitive Radio Wireless Sensor Network

2020 ◽  
Vol 20 (03) ◽  
pp. 2050009
Author(s):  
GARIMA MAHENDRU ◽  
ANIL K. SHUKLA ◽  
L. M. PATNAIK
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Spectrum Sensing ◽  
Dynamic Spectrum Access ◽  
Substantial Reduction ◽  
Wireless Sensor ◽  
Low Snr ◽  
Double Threshold

Cognitive Radio based Wireless Sensor Network is a novel concept that integrates the dynamic spectrum access capability of cognitive radio into wireless sensor networks for the futuristic sensor networks and wireless communication technology. Spectrum sensing plays a quintessential role in a cognitive radio network but is a major constraint for a battery powered sensor with stringent energy limitations. The spectrum sensing algorithms are expected to yield acceptable detection probability at low SNR under noise uncertainty with minimum power consumption in a WSN. In this paper, a new spectrum sensing method has been proposed to overcome sensing failure under low SNR environment. The proposed technique is based on adaptive double threshold theory which improves the detection performance by 39.63 and 27.22% at SNR = −10dB as compared to the conventional energy detection and available double threshold-based method respectively. Furthermore, the proposed method of spectrum sensing is evaluated for its deployment into a CR-WSN using the evaluation metrics: Time and Sample Complexity. The comparative evaluation of the spectrum sensing method in a WSN through simulations shows that the proposed technique offers substantial reduction in sample and time complexity of the wireless sensor nodes.

scholarly journals A Low-Power Multi Resolution Spectrum Sensing Architecture for a Wireless Sensor Network with Cognitive Radio

2011 ◽  
Vol E94-A (11) ◽  
pp. 2287-2294 ◽  
Author(s):  
Toshihiro KONISHI ◽  
Shintaro IZUMI ◽  
Koh TSURUDA ◽  
Hyeokjong LEE ◽  
Takashi TAKEUCHI ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Low Power ◽  
Sensor Network ◽  
Spectrum Sensing ◽  
Wireless Sensor

Network Layer for Cognitive Radio Sensor Networks

2016 ◽  
pp. 961-993
Author(s):  
Suleiman Zubair ◽  
Norsheila Fisal ◽  
Mohammed B. Abazeed ◽  
Zubair Khalid ◽  
Yahya O. Salihu ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Communication Networks ◽  
Wireless Sensor ◽  
Factors Affecting ◽  
Cognitive Radio Sensor Networks ◽  
Generalized Framework ◽  
Critical Issues

Based on recent trends, Cognitive Radio paradigm has become an integral part of future communication networks of which Wireless Sensor Network is an integral part. However, Cognitive Radio (CR) introduces critical issues that have to be addressed for communication in networks to be achieved. Routing, being the core of communication, has to be critically examined within the context of Cognitive Radio Sensor Networks. In this chapter, the authors discuss relevant issues on the topic of routing in Cognitive Radio Sensor Networks (CRSN). As a basis, a general overview of routing in the Wireless Sensor Network (WSN) is made. The applicability of these protocols in CRSN is discussed and the need for integrating Opportunistic Spectrum Access components into existing Wireless Sensor Network protocols is exposed. Factors affecting routing in CRSN are outlined with an emphasis on a cross layering design approach based on a generalized framework. Recent works in this respect are categorized, and finally, open issues in need for research attention are pinpointed.

scholarly journals Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Jiao ◽  
Inwhee Joe
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Markov Model ◽  
Sensor Network ◽  
Spectrum Sensing ◽  
Wireless Sensor ◽  
Time Interval ◽  
Sensing Time

Cognitive Radio Sensor Network (CRSN), incorporating cognitive radio capability in wireless sensor networks, is a new paradigm of the next-generation sensor network. Sensor nodes are usually battery powered and hence have strict energy constraints. As a result, energy efficiency is also a very critical problem in the CRSN. In this paper, we focus on energy consumption because of spectrum sensing. Furthermore, we present an adaptive spectrum sensing time interval strategy, in which SUs can adjust the next spectrum sensing time interval according to the current spectrum sensing results (namely, channel status). In order to find an optimal spectrum sensing time interval, we introduce the Markov model. Then, we establish a Markov model-based mathematical modeling for analyzing the relationship between spectrum sensing time interval and prior spectrum sensing results. Finally, numerical results demonstrate that the proposed strategy with dynamic adaptive spectrum sensing time interval exceededlisten before talk(LBT) strategy which is widely used for traditional wireless sensor networks.

Network Layer for Cognitive Radio Sensor Networks

2014 ◽  
pp. 196-229
Author(s):  
Suleiman Zubair ◽  
Norsheila Fisal ◽  
Mohammed B. Abazeed ◽  
Zubair Khalid ◽  
Yahya O. Salihu ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Communication Networks ◽  
Wireless Sensor ◽  
Factors Affecting ◽  
Cognitive Radio Sensor Networks ◽  
Generalized Framework ◽  
Critical Issues

Based on recent trends, Cognitive Radio paradigm has become an integral part of future communication networks of which Wireless Sensor Network is an integral part. However, Cognitive Radio (CR) introduces critical issues that have to be addressed for communication in networks to be achieved. Routing, being the core of communication, has to be critically examined within the context of Cognitive Radio Sensor Networks. In this chapter, the authors discuss relevant issues on the topic of routing in Cognitive Radio Sensor Networks (CRSN). As a basis, a general overview of routing in the Wireless Sensor Network (WSN) is made. The applicability of these protocols in CRSN is discussed and the need for integrating Opportunistic Spectrum Access components into existing Wireless Sensor Network protocols is exposed. Factors affecting routing in CRSN are outlined with an emphasis on a cross layering design approach based on a generalized framework. Recent works in this respect are categorized, and finally, open issues in need for research attention are pinpointed.

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