Advanced search ?

Object

Download

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

Creator:

Agarkhed, Jayashree ; Gatate, Veeranna

Date:

2020, nr 3

Resource Type:

artykuł

Description:

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

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

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

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

cognitive radio channel overlapping co-channel interference Channel interference

Object collections:

Last modified:

Oct 22, 2020

In our library since:

Oct 22, 2020

Number of object content hits:

41

All available object's versions:

https://bc.itl.waw.pl/publication/2442

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Agarkhed, Jayashree; Gatate, Veeranna, ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks, Journal of Telecommunications and Information Technology, 2020, nr 3 Oct 22, 2020

Objects Similar
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
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
Mathematical Foundations of Cognitive Radios, Journal of Telecommunications and Information Technology, 2009, nr 4

Couillet, Romain Debbah, Merouane

2009, nr 4
artykuł
Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm, Journal of Telecommunications and Information Technology, 2017, nr 1

Roy, Jibendu Sekhar Bhattacharya, Partha Pratim Dutta, Swaham Chatterjee, Subhajit

2017, nr 1
artykuł
More
×

Citation

Citation style:

Contact details

Address

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

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information