Metrics that impact on Congestion Control at Internet Of Things Environment

Fatimah Alghamdi
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引用次数: 3

Abstract

Congestion is very common in wireless networks as multiple sensors try to transmit data simultaneously. The Internet Of Things (IOT) is a dynamic system. Using a specific congestion control algorithm with one IOT system provides different results from other IOT systems. This means that an IOT developer cannot use the same congestion control algorithm with different IOT systems, because the efficiency of congestion control algorithms varies from one IOT system to another according to the infrastructure of the smart system and the amount of transmitted data. The primary purpose of this work is to support analysts and designers of congestion control algorithms at IOT companies by understanding the metrics influencing congestion control. This will enable them to select the appropriate metrics depending on the nature of the IOT infrastructure and the amount of transmitted data. This study also conducts a literature review of papers that discuss transport protocols providing congestion control. The data extraction process gathered from 30 transport protocols concerning congestion control. From the reviewed papers, we extract the metrics that influence congestion control detection, notification, and mitigation. After that, we applied some statistical solutions on extracted metrics. We find queue length is the metrics used most often for congestion detection. While additive increase multiplicative decrease (AIMD) for single-bit transmitting is the most used metrics for congestion notication. Whereas rate control is the most used metrics for congestion mitigation
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影响物联网环境中拥塞控制的指标
拥塞在无线网络中很常见,因为多个传感器试图同时传输数据。物联网(IOT)是一个动态系统。在一个物联网系统中使用特定的拥塞控制算法可以提供与其他物联网系统不同的结果。这意味着物联网开发人员不能对不同的物联网系统使用相同的拥塞控制算法,因为根据智能系统的基础设施和传输的数据量,拥塞控制算法的效率因物联网系统而异。这项工作的主要目的是通过了解影响拥塞控制的指标来支持物联网公司拥塞控制算法的分析师和设计师。这将使他们能够根据物联网基础设施的性质和传输的数据量选择适当的指标。本研究还对讨论提供拥塞控制的传输协议的论文进行了文献综述。从有关拥塞控制的30个传输协议中收集的数据提取过程。从审查的论文中,我们提取了影响拥塞控制检测、通知和缓解的指标。之后,我们对提取的指标应用了一些统计解决方案。我们发现队列长度是最常用于拥塞检测的指标。而单比特传输的加性增加乘性减少(AIMD)是最常用的拥塞通知度量。而速率控制是缓解拥塞最常用的指标
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