Performance Analysis of Different Types of Sensor Networks for Cognitive Radios

We consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision. With the existence of wireless fading on the channels from sensors...

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Main Authors: Chunxuan Ye, Zinan Lin, Alpaslan Demir, Yan Li
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2012/632762
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spelling doaj-5e61987e062c49678deeb9c02f665e6e2021-07-02T07:55:15ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552012-01-01201210.1155/2012/632762632762Performance Analysis of Different Types of Sensor Networks for Cognitive RadiosChunxuan Ye0Zinan Lin1Alpaslan Demir2Yan Li3InterDigital Communications, LLC, King of Prussia, PA 19406, USAInterDigital Communications, LLC, King of Prussia, PA 19406, USAInterDigital Communications, LLC, King of Prussia, PA 19406, USAInterDigital Communications, LLC, King of Prussia, PA 19406, USAWe consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision. With the existence of wireless fading on the channels from sensors to data fusion center, we examine three different mechanisms on the transmissions from sensors to data fusion center: (1) direct transmissions; (2) transmissions with the assistance of relays and (3) transmissions with the assistance of an intermediate fusion helper which fuses the sensing results from the sensors and sends the fused result to the data fusion center. For each mechanism, we analyze the correct probability of the overall decision made by the data fusion center. Our evaluation establishes that a sensor network with an intermediate fusion helper performs almost as good as a sensor network with relays, but providing energy and spectral advantages. Both networks significantly outperform the sensor network without relay or intermediate fusion helper. Such analysis facilitates the design of sensor networks. Furthermore, we generalize this evaluation to sensor networks with an arbitrary number of sensors and to sensor networks applying various information combining rules. Our simulations validate the analytical results.http://dx.doi.org/10.1155/2012/632762
collection DOAJ
language English
format Article
sources DOAJ
author Chunxuan Ye
Zinan Lin
Alpaslan Demir
Yan Li
spellingShingle Chunxuan Ye
Zinan Lin
Alpaslan Demir
Yan Li
Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
Journal of Electrical and Computer Engineering
author_facet Chunxuan Ye
Zinan Lin
Alpaslan Demir
Yan Li
author_sort Chunxuan Ye
title Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
title_short Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
title_full Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
title_fullStr Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
title_full_unstemmed Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
title_sort performance analysis of different types of sensor networks for cognitive radios
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2012-01-01
description We consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision. With the existence of wireless fading on the channels from sensors to data fusion center, we examine three different mechanisms on the transmissions from sensors to data fusion center: (1) direct transmissions; (2) transmissions with the assistance of relays and (3) transmissions with the assistance of an intermediate fusion helper which fuses the sensing results from the sensors and sends the fused result to the data fusion center. For each mechanism, we analyze the correct probability of the overall decision made by the data fusion center. Our evaluation establishes that a sensor network with an intermediate fusion helper performs almost as good as a sensor network with relays, but providing energy and spectral advantages. Both networks significantly outperform the sensor network without relay or intermediate fusion helper. Such analysis facilitates the design of sensor networks. Furthermore, we generalize this evaluation to sensor networks with an arbitrary number of sensors and to sensor networks applying various information combining rules. Our simulations validate the analytical results.
url http://dx.doi.org/10.1155/2012/632762
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