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Pashmforoush, S., Emrani Zarandi, A. (2021). A new analytical model for enhancing performance of cognitive radio user’s transmissions in the internet of things. Electronic and Cyber Defense, 9(3), 73-82.
S. Pashmforoush; A. Emrani Zarandi. "A new analytical model for enhancing performance of cognitive radio user’s transmissions in the internet of things". Electronic and Cyber Defense, 9, 3, 2021, 73-82.
Pashmforoush, S., Emrani Zarandi, A. (2021). 'A new analytical model for enhancing performance of cognitive radio user’s transmissions in the internet of things', Electronic and Cyber Defense, 9(3), pp. 73-82.
Pashmforoush, S., Emrani Zarandi, A. A new analytical model for enhancing performance of cognitive radio user’s transmissions in the internet of things. Electronic and Cyber Defense, 2021; 9(3): 73-82.

A new analytical model for enhancing performance of cognitive radio user’s transmissions in the internet of things

پدافند الکترونیکی و سایبری
Volume 9, Issue 3 - Serial Number 35, December 2021, Pages 73-82    PDF (798.92 K)
Document Type: Original Article
Authors
S. Pashmforoush1; A. Emrani Zarandi* 2
1PhD Student, Department of Computer, Faculty of Electrical and Computer Engineering, Azad University, Kerman Branch, Kerman, Iran
2Assistant Professor, Department of Computer, Bahonar University of Kerman, Kerman, Iran
Receive Date: 12 November 2020,  Revise Date: 22 December 2020,  Accept Date: 26 December 2020 
Abstract
Internet of things (IoT) constitutes networked devices that can gather and exchange information. Thescarcity of the available spectrum used by a large number of devices in IoT is a challenge. The Cognitive Radiotechnology has emerged as a promising solution to overcome spectrum scarcity in a resource-constrained wireless sensor network. The prioritized spectrum access is the key to maintain the efficiency of CRSN. Modelling the prioritized spectrum access policy is a significant need to analyze a CRSN. However, in CRSN, TCP experiences in severe throughput reduction since it cannot differentiate between the packet loss due to SU’s transmission-blocking and packet loss due to congestion. In this paper, two significant events are investigated that caused secondary user blocking.In additiona Discrete-Time Markov chain (DTMC) is proposed to describe the spectrum usage by both primary and secondary users, which is used to estimate the TCP throughput and end to end delay. The experimental resultsbased on the NS2 confirms the accuracy of the proposed model and show that the throughput and the average end-to-end delay are improved based on the proposed DTMC model comparing with some transport protocol in the cognitive radio networks. The performance results through simulation show that the proposed model achieves up to 20% improvement of the throughput comparing with the classical TFRC and TFRC-CR respectively.
Keywords
Internet of Things; Transport protocol; Throughput; Cognitive Radio Sensor Network; Markov Chain; Packet loss probability; Primary user; Secondary user; End to end delay
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