An optimized congestion control protocol in cellular network for improving quality of service

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Sandhya S. V, S. M. Joshi
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Abstract

In recent decades, Cellular Networks (CN) have been used broadly in communication technologies. The most critical challenge in the CN was congestion control due to the distributed mobile environment. Some approaches, like mobile edge computing, congesting controlling systems, machine learning, and heuristic models, have failed to prevent congestion in CN. The reason for this problem is the lack of continuous monitoring function at every time interval. So, in this present study, a novel Golden Eagle-based Primal–dual Congestion Management (GEbPDCM) has been developed for the Long-Term Evolution (LTE) Ad hoc On-demand Vector (AODV) network. Here, the Golden Eagle function features will afford the continuous monitoring function to monitor data congestion. Hence, the main objective of this research is to improve the Quality of service (QoS) by optimizing congestion controls. Here, the QoS is measured by different metrics, such as delay, packet delivery ratio (PDR), throughput, packet loss, and energy consumption. Initially, the nodes were created in the MATLAB environment, and the GEbPDCM was activated to predict the data load and estimate the node density to measure the node status. Then, the high data overload was migrated to another free status node to control congestion. Finally, the proposed model efficiency was measured regarding delay, packet delivery ratio (PDR), throughput, packet loss, and energy consumption. The proposed model has scored high throughput at 97.1 Mbps and 97.1 PDR, reducing delay to 67.4 ms and 50.6 mJ energy consumption. Hence, the present model is suitable for the LTE network.

Abstract Image

优化蜂窝网络拥塞控制协议,提高服务质量
近几十年来,蜂窝网络(CN)在通信技术中得到了广泛应用。蜂窝网络面临的最大挑战是分布式移动环境下的拥塞控制。一些方法,如移动边缘计算、拥塞控制系统、机器学习和启发式模型,都无法防止蜂窝网络的拥塞。造成这一问题的原因是缺乏每个时间间隔的连续监控功能。因此,在本研究中,针对长期演进(LTE)Ad hoc On-demand Vector(AODV)网络开发了一种新颖的基于金鹰的原始双拥塞管理(GEbPDCM)。在此,金鹰功能特性将提供持续监控功能,以监控数据拥塞情况。因此,本研究的主要目标是通过优化拥塞控制来提高服务质量(QoS)。在这里,QoS 通过不同的指标来衡量,如延迟、数据包交付率(PDR)、吞吐量、数据包丢失和能耗。最初,在 MATLAB 环境中创建节点,并启动 GEbPDCM 预测数据负载和估算节点密度,以衡量节点状态。然后,将高数据过载迁移到另一个空闲状态节点,以控制拥塞。最后,就延迟、数据包交付率 (PDR)、吞吐量、数据包丢失和能耗等方面测量了所提模型的效率。所提出的模型获得了 97.1 Mbps 的高吞吐量和 97.1 PDR,将延迟降低到 67.4 ms,能耗降低到 50.6 mJ。因此,本模型适用于 LTE 网络。
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来源期刊
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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