Data Distribution in IoT Networks with Estimation of Packet Error Rate

Seunghun Jeon, Jihyoung Ahn, Tae-Jin Lee
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引用次数: 4

Abstract

Internet of Things (IoT) is a network of things with wireless networks for connecting things and people on a massive scale. Energy harvesting from a surrounding environment is one of the key techniques to achieve a sustainable IoT network. In an IoT environment, reliable broadcast plays an important role to distribute data to a large number of surrounding devices. Forward Error Correction (FEC) enables a receiver to detect and correct errors for a received packet. The fountain code, which is a type of FEC, is suitable for IoT environment due to its high scalability and low complexity. When the FEC is applied to a data broadcast scenario in IoT networks, fast and reliable broadcast can be achieved. In this paper, we propose a new broadcast method to utilize a moving average to estimate a packet error rate of the current frame in the environment with a large number of connected devices. This proposed scheme is desirable to achieve high data restoration probability by obtaining a proper number of output packets.
基于误码率估计的物联网网络数据分布
物联网(IoT)是一个具有无线网络的物联网,用于大规模连接物和人。从周围环境中收集能量是实现可持续物联网网络的关键技术之一。在物联网环境中,可靠的广播对于将数据分发到大量周围设备起着重要作用。FEC (Forward Error Correction)是指接收端对接收到的报文进行错误检测和纠错的功能。喷泉码是FEC的一种,具有可扩展性高、复杂度低的特点,适合物联网环境。FEC应用于物联网网络的数据广播场景,可以实现快速、可靠的广播。在本文中,我们提出了一种新的广播方法,利用移动平均来估计当前帧在大量连接设备的环境中的分组错误率。该方案通过获得适当数量的输出包,可以达到较高的数据恢复概率。
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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