Open Access

ARTICLE

Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach

Abdul Waheed^1,2,*, Naila Habib Khan³, Mahdi Zareei⁴, Shahab Ul Islam⁵, Latif Jan^5,6, Arif Iqbal Umar¹, Ehab Mahmoud Mohamed^7,8

1 Department of Information Technology, Hazara University, Mansehra, 21120, Pakistan
2 School of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Korea
3 Department of Computer Science, Institute of Management Sciences, Peshawar, 25000, Pakistan
4 Tecnologico de Monterrey, School of Engineering and Sciences, Zapopan, 45201, Mexico
5 Department of Computer Science, IQRA National University, Peshawar, 25124, Pakistan
6 Department of Electrical Engineering, University of Engineering Technology, Peshawar, 25120, Pakistan
7 Electrical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addwasir, 11991, Saudi Arabia
8 Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt

* Corresponding Author: Abdul Waheed. Email:

Computers, Materials & Continua 2021, 66(1), 359-372. https://doi.org/10.32604/cmc.2020.012196

Received 19 June 2020; Accepted 18 July 2020; Issue published 30 October 2020

Abstract

Congestion control is one of the main obstacles in cyberspace traffic. Overcrowding in internet traffic may cause several problems; such as high packet hold-up, high packet dropping, and low packet output. In the course of data transmission for various applications in the Internet of things, such problems are usually generated relative to the input. To tackle such problems, this paper presents an analytical model using an optimized Random Early Detection (RED) algorithm-based approach for internet traffic management. The validity of the proposed model is checked through extensive simulation-based experiments. An analysis is observed for different functions on internet traffic. Four performance metrics are taken into consideration, namely, the possibility of packet loss, throughput, mean queue length and mean queue delay. Three sets of experiments are observed with varying simulation results. The experiments are thoroughly analyzed and the best packet dropping operation with minimum packet loss is identified using the proposed model.

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Citations