Sinopsis
Cognitive Radio is a promising technology which minimizes the spectrum shortage problem by dynamically using the free spectrum in the absence of Primary User (PU). Recent advancement in cognitive radio networks have arisen many issues regarding the spectrum sharing and security features since the last decade. Several crucial issues have not been yet investigated in the area of spectrum sharing mechanism. Several secondary user (SU) competing for channel allotment, senses the spectrum and occupies the available free spectrum. Problem arises when SU has to evacuate the channel as the PU returns back which causes the transmission blockage. In this paper we have used the Fuzzy Logic technique. Fuzzy Technique helps in evacuating the problem stated above. The purpose behind using Fuzzy logic is to fuzzily each parameter so that to Minimize Channel switching time and so that to maximize throughput, if switching is necessary moves to the channel that has the maximum susceptibility for the continual Successful transmission. The susceptibility/reliability information of channels is already polled, so that Cognitive user takes as less time to make any decision.
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Reseña del editor
Cognitive Radio is a promising technology which minimizes the spectrum shortage problem by dynamically using the free spectrum in the absence of Primary User (PU). Recent advancement in cognitive radio networks have arisen many issues regarding the spectrum sharing and security features since the last decade. Several crucial issues have not been yet investigated in the area of spectrum sharing mechanism. Several secondary user (SU) competing for channel allotment, senses the spectrum and occupies the available free spectrum. Problem arises when SU has to evacuate the channel as the PU returns back which causes the transmission blockage. In this paper we have used the Fuzzy Logic technique. Fuzzy Technique helps in evacuating the problem stated above. The purpose behind using Fuzzy logic is to fuzzily each parameter so that to Minimize Channel switching time and so that to maximize throughput, if switching is necessary moves to the channel that has the maximum susceptibility for the continual Successful transmission. The susceptibility/reliability information of channels is already polled, so that Cognitive user takes as less time to make any decision.
Biografía del autor
M. Awais Zafar Cheema is a Lecturer at the University of Gujrat. He is an expert in Cognitive Radio Networks and Wireless Ad-Hoc Networks. He is also an Computer Hardware and Software expert and has been working on Computer Architecture and Human Computer Interaction, which are the subjects he teaches and researches at UOG.
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
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LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659963631
ISBN 13: 9783659963636
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cognitive Radio is a promising technology which minimizes the spectrum shortage problem by dynamically using the free spectrum in the absence of Primary User (PU). Recent advancement in cognitive radio networks have arisen many issues regarding the spectrum sharing and security features since the last decade. Several crucial issues have not been yet investigated in the area of spectrum sharing mechanism. Several secondary user (SU) competing for channel allotment, senses the spectrum and occupies the available free spectrum. Problem arises when SU has to evacuate the channel as the PU returns back which causes the transmission blockage. In this paper we have used the Fuzzy Logic technique. Fuzzy Technique helps in evacuating the problem stated above. The purpose behind using Fuzzy logic is to fuzzily each parameter so that to Minimize Channel switching time and so that to maximize throughput, if switching is necessary moves to the channel that has the maximum susceptibility for the continual Successful transmission. The susceptibility/reliability information of channels is already polled, so that Cognitive user takes as less time to make any decision. 68 pp. Englisch. Nº de ref. del artículo: 9783659963636
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
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ISBN 10: 3659963631
ISBN 13: 9783659963636
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
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ISBN 10: 3659963631
ISBN 13: 9783659963636
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Muhammad Awais Zafar CheemaM. Awais Zafar Cheema is a Lecturer at the University of Gujrat. He is an expert in Cognitive Radio Networks and Wireless Ad-Hoc Networks. He is also an Computer Hardware and Software expert and has been wo. Nº de ref. del artículo: 158878220
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
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LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659963631
ISBN 13: 9783659963636
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Taschenbuch. Condición: Neu. Neuware -Cognitive Radio is a promising technology which minimizes the spectrum shortage problem by dynamically using the free spectrum in the absence of Primary User (PU). Recent advancement in cognitive radio networks have arisen many issues regarding the spectrum sharing and security features since the last decade. Several crucial issues have not been yet investigated in the area of spectrum sharing mechanism. Several secondary user (SU) competing for channel allotment, senses the spectrum and occupies the available free spectrum. Problem arises when SU has to evacuate the channel as the PU returns back which causes the transmission blockage. In this paper we have used the Fuzzy Logic technique. Fuzzy Technique helps in evacuating the problem stated above. The purpose behind using Fuzzy logic is to fuzzily each parameter so that to Minimize Channel switching time and so that to maximize throughput, if switching is necessary moves to the channel that has the maximum susceptibility for the continual Successful transmission. The susceptibility/reliability information of channels is already polled, so that Cognitive user takes as less time to make any decision.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Nº de ref. del artículo: 9783659963636
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
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ISBN 10: 3659963631
ISBN 13: 9783659963636
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cognitive Radio is a promising technology which minimizes the spectrum shortage problem by dynamically using the free spectrum in the absence of Primary User (PU). Recent advancement in cognitive radio networks have arisen many issues regarding the spectrum sharing and security features since the last decade. Several crucial issues have not been yet investigated in the area of spectrum sharing mechanism. Several secondary user (SU) competing for channel allotment, senses the spectrum and occupies the available free spectrum. Problem arises when SU has to evacuate the channel as the PU returns back which causes the transmission blockage. In this paper we have used the Fuzzy Logic technique. Fuzzy Technique helps in evacuating the problem stated above. The purpose behind using Fuzzy logic is to fuzzily each parameter so that to Minimize Channel switching time and so that to maximize throughput, if switching is necessary moves to the channel that has the maximum susceptibility for the continual Successful transmission. The susceptibility/reliability information of channels is already polled, so that Cognitive user takes as less time to make any decision. Nº de ref. del artículo: 9783659963636
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Fuzzy Based Throughput Maximization in Cognitive Radio Networks
Publicado por
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ISBN 10: 3659963631
ISBN 13: 9783659963636
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Taschenbuch. Condición: Neu. Fuzzy Based Throughput Maximization in Cognitive Radio Networks | Cheema Muhammad Awais Zafar (u. a.) | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659963636 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 107707599
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