RETRACTED ARTICLE: Stable route selection for adaptive packet transmission in 5G-based mobile communications.

IF 1.1 3区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Network-Computation in Neural Systems Pub Date : 2024-03-03 DOI:10.1080/0954898X.2024.2318344

Muthulakshmi Karuppiyan, Hariharan Subramani, Shanthy Kandasamy Raju, Manimekalai Maradi Anthonymuthu Prakasam

引用次数: 0

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基于 5G 的移动通信中自适应数据包传输的稳定路由选择。

移动节点之间的连通性较差，这给数据包丢失带来了不确定性，因为在这个网络中，路径链路是无法测量的。要实现有效的数据包传输，重点在于通信成本。由于选择高距离路径传输数据包会产生较高的通信成本，从而增加能量消耗和数据包丢失率。因此，我们提出了分散通信路径选择（DPAC）方法，以获得最佳的最小距离路由路径。该路径借助队列变化来处理数据包的维护，而时隙则超过了其限制。数据包会一直等待，以提高数据包广播效率。多径干扰检测算法的构建提供了一种基于链路的路径数据包过载检测方案，以识别数据包过载。它还能根据路径的特性对路径进行分离，以控制过载。它降低了能耗和数据包丢失率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Network-Computation in Neural Systems 工程技术-工程：电子与电气

CiteScore

3.70

自引率

1.30%

发文量

审稿时长

>12 weeks

期刊介绍： Network: Computation in Neural Systems welcomes submissions of research papers that integrate theoretical neuroscience with experimental data, emphasizing the utilization of cutting-edge technologies. We invite authors and researchers to contribute their work in the following areas: Theoretical Neuroscience: This section encompasses neural network modeling approaches that elucidate brain function. Neural Networks in Data Analysis and Pattern Recognition: We encourage submissions exploring the use of neural networks for data analysis and pattern recognition, including but not limited to image analysis and speech processing applications. Neural Networks in Control Systems: This category encompasses the utilization of neural networks in control systems, including robotics, state estimation, fault detection, and diagnosis. Analysis of Neurophysiological Data: We invite submissions focusing on the analysis of neurophysiology data obtained from experimental studies involving animals. Analysis of Experimental Data on the Human Brain: This section includes papers analyzing experimental data from studies on the human brain, utilizing imaging techniques such as MRI, fMRI, EEG, and PET. Neurobiological Foundations of Consciousness: We encourage submissions exploring the neural bases of consciousness in the brain and its simulation in machines.