Open Access

ARTICLE

Data Aggregation-based Transmission Method in Ultra-Dense Wireless Networks

Dae-Young Kim, Seokhoon Kim^*

Department of Computer Software Engineering, Soonchunhyang University, Asan, 31538, Korea

* Corresponding Author: Seokhoon Kim. Email:

Intelligent Automation & Soft Computing 2023, 35(1), 727-737. https://doi.org/10.32604/iasc.2023.027563

Received 20 January 2022; Accepted 13 March 2022; Issue published 06 June 2022

Abstract

As the Internet of Things (IoT) advances, machine-type devices are densely deployed and massive networks such as ultra-dense networks (UDNs) are formed. Various devices attend to the network to transmit data using machine-type communication (MTC), whereby numerous, various are generated. MTC devices generally have resource constraints and use wireless communication. In this kind of network, data aggregation is a key function to provide transmission efficiency. It can reduce the number of transmitted data in the network, and this leads to energy saving and reducing transmission delays. In order to effectively operate data aggregation in UDNs, it is important to select an aggregation point well. The total number of transmitted data may vary, depending on the aggregation point to which the data are delivered. Therefore, in this paper, we propose a novel data aggregation scheme to select the appropriate aggregation point and describe the data transmission method applying the proposed aggregation scheme. In addition, we evaluate the proposed scheme with extensive computer simulations. Better performances in the proposed scheme are achieved compared to the conventional approach.

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Keywords

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