Open Access
ARTICLE
Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach
Abdul Waheed1,2,*, Naila Habib Khan3, Mahdi Zareei4, Shahab Ul Islam5, Latif Jan5,6, Arif Iqbal Umar1, Ehab Mahmoud Mohamed7,8
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.
Keywords
Cite This Article
APA Style
Waheed, A., Khan, N.H., Zareei, M., Islam, S.U., Jan, L. et al. (2021). Traffic queuing management in the internet of things: an optimized RED algorithm based approach. Computers, Materials & Continua, 66(1), 359-372. https://doi.org/10.32604/cmc.2020.012196
Vancouver Style
Waheed A, Khan NH, Zareei M, Islam SU, Jan L, Umar AI, et al. Traffic queuing management in the internet of things: an optimized RED algorithm based approach. Comput Mater Contin. 2021;66(1):359-372 https://doi.org/10.32604/cmc.2020.012196
IEEE Style
A. Waheed et al., "Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach," Comput. Mater. Contin., vol. 66, no. 1, pp. 359-372. 2021. https://doi.org/10.32604/cmc.2020.012196
Citations