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Cognitive radio based optimal sensing for resource allocation in smart cities/villages

M. N., Morshed and Sabira, Khatun and V., Vijayasarveswari and Fakir, Md Moslemuddin and M. Z., Ibrahim and Kamarul Hawari, Ghazali and Mohd Hisyam, Mohd Ariff (2017) Cognitive radio based optimal sensing for resource allocation in smart cities/villages. In: 4th International Conference On Electrical, Control & Computer Engineering, 16-17 October 2017 , Hotel Adya, Langkawi. pp. 1-5.. (Unpublished)

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Abstract

Cognitive radio is the cutting edge wireless technology that is used to solve the spectrum saturation problem. In cognitive radio, secondary users use primary user’s spectrum (licensed band) during primary user’s absence. Cognitive radio provides more flexibility in terms of spectrum utilization but the spectrum sensing efficiency need to be improved to make sure that the primary users are not interrupted while they are active. This paper presents the test-bed development of a cognitive radio network using Android based smart phone for optimal sensing and data transmission. An energy detector based sensing method is proposed and used here since the energy detector does not require the information of the primary user. The cognitive radio features has been implemented in Android phone by using the Eclipse Java programming. The testbed experimental set up was done Android based smart phone. Two spectrums, WIFI and Bluetooth were used to verify the sensing and detection efficiency. Results show that the proposed sensing and detection scheme efficiently is about 83%.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Cognitive Radio Network; Spectrum Sensing and detection; Bluetooth; Wi-Fi; Cognitive Radio Test Bed
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TP Chemical technology
Faculty/Division: Centre of Excellence: Centre of Excellence for Advanced Research in Fluid Flow
Faculty of Chemical & Natural Resources Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 06 Mar 2018 06:59
Last Modified: 16 Jul 2018 08:28
URI: http://umpir.ump.edu.my/id/eprint/19498
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