Wyszukiwanie zaawansowane ?

Obiekt

ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks, Journal of Telecommunications and Information Technology, 2020, nr 3
Pobierz

Tytuł: ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks, Journal of Telecommunications and Information Technology, 2020, nr 3

Autor:

Agarkhed, Jayashree ; Gatate, Veeranna

Data wydania:

2020, nr 3

Typ zasobu:

artykuł

Opis:

Wireless sensor networks (WSNs) operate in an overcrowded electromagnetic environment, as the spectrum is shared by various wireless communication technologies. This gives rise to various challenges related to optimized and efficient spectrum utilization. Cognitive radio (CR) has emerged as a solution satisfying this requirement, as it is capable of adapting to the dynamic radio spectrum. Thanks to the deployment of cognitive radio in WSNs, the spectrum may be utilized in a more efficient manner. CR may identify the vacant channels dynamically, allowing the sensor nodes to effectively communicate with each other. In this paper a clustering algorithm known as improved cluster-based channel assignment (ICBCA) is implemented, forming clusters of CR sensor nodes and then selecting vacant channels for data transmission purposes. Simulation results show that ICBCA outperforms existing clustering algorithms in CR sensor networks

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2146

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

cognitive radio channel overlapping co-channel interference Channel interference

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

25 lut 2026

Data dodania obiektu:

22 paź 2020

Liczba wyświetleń treści obiektu:

93

Wszystkie dostępne wersje tego obiektu:

https://ribes-54.man.poznan.pl/publication/2442

Wyświetl opis w formacie RDF:

RDF

Wyświetl opis w formacie OAI-PMH:

OAI-PMH

Nazwa wydania Data
Agarkhed, Jayashree; Gatate, Veeranna, ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks, Journal of Telecommunications and Information Technology, 2020, nr 3 25 lut 2026

Obiekty Podobne
Optimal Spectrum Sensor Assignment in Multi-channel Multi-user Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2018, nr 4

K. S., Nandini Hariprasad, S. A.

2018, nr 4
artykuł
Modified PSO Based Channel Allocation Scheme for Interference Management in 5G Wireless Mesh Networks, Journal of Telecommunications and Information Technology, 2022, nr 2

Manvi, Sunilkumar S. Benni, Nirmalkumar S.

2022, nr 2
artykuł
Outage Performance of Bidirectional Full-Duplex Amplify-and-Forward Relay Network with Transmit Antenna Selection and Maximal Ratio Combining, Journal of Telecommunications and Information Technology, 2018, nr 1

Velmurugan P. G. S. Rajesh R. Thiruvengadam S. J. Mallick P. S.

2018
artykuł
Improved CSE with DLS-MMSE Criteria in TH-UWB System, Journal of Telecommunications and Information Technology, 2022, nr 1

Djebbari, Ali Elahmar, Sid Ahmed

2022, nr 1
artykuł
Mathematical Foundations of Cognitive Radios, Journal of Telecommunications and Information Technology, 2009, nr 4

Couillet, Romain Debbah, Merouane

2009, nr 4
artykuł
Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2021, nr 1

Bachan, P. Trankatwar, Sachin Ravikant Ghosh, Samit Kumar

2021, nr 1
artykuł
Implementation of Selected Spectrum Sensing Systems for Cognitive Radio Networks using FPGA Platform, Journal of Telecommunications and Information Technology, 2018, nr 4

Abdullah, Hikmat N. Abed, Hadeel S.

2018, nr 4
artykuł
Cooperative Games with Incomplete Information for Secondary Base Stations in Cognitive Radio Networks, Journal of Telecommunications and Information Technology, 2013, nr 3

Martyna, Jerzy

2013, nr 3
artykuł
Więcej
×

Cytowanie

Styl cytowania:

Dane kontaktowe

Adres

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Telefon

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Odwiedź nas!

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji