Article

Improving quality of service in a wireless sensor network using artificial neural networks

Abdimurod EshmuradovTashkent University of Information Technologies named after Muhammad Al-Khwarizmi,Department of Telecommunication engineering,Tashkent city,Uzbekistan,100200Aybek KhaytbaevTashkent University of Information Technologies named after Muhammad Al-Khwarizmi,Department of Telecommunication engineering,Tashkent city,Uzbekistan,100200

2022en

ABI

Abstract

The article presents the results of improving the quality of service in a wireless sensor network using artificial neural networks. Improved quality of service for some QoS parameters such as packet loss and congestion. Classification of nodes into qualified and unqualified categories was done using parameters. A new method of improving QoS based on artificial neural network (ANN) was implemented by converting unqualified nodes into good ones. Wireless sensor networks face many limitations such as memory and energy, the cost and computation time are somewhat reduced by using artificial neural networks. Modeling results showed that the proposed system achieved improved QoS by increasing network lifetime and reducing packet loss ratio.

Topics

Energy Efficient Wireless Sensor Networks IoT-based Smart Home Systems Cybersecurity and Information Systems

Identifiers

DOI: 10.1109/icisct55600.2022.10146881

Citations and references

Cited by 1 21 references

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