Adaptive Consensus-based Aggregation for Edge Computing

Firas Al-Doghman, Z. Chaczko, Wayne Brookes
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Abstract

The swift expansion in employing IoT and the tendency to apply its application have encompassed a wide range of fields in our life. The heterogeneity and the massive amount of data produced from IoT require adaptive collection and transmission processes that function closed to front-end to mitigate these issues. In this paper, We introduced a method of aggregating IoT data in a consensus way using Bayesian analysis and Markov Chain techniques. The aim is to enhance the quality of data traveling within IoT framework.
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基于自适应共识的边缘计算聚合
物联网应用的迅速扩展和应用趋势已经涵盖了我们生活中的广泛领域。物联网产生的异质性和大量数据需要自适应的收集和传输过程,这些过程对前端功能关闭,以缓解这些问题。在本文中,我们介绍了一种使用贝叶斯分析和马尔科夫链技术以共识方式聚合物联网数据的方法。其目的是提高物联网框架内数据传输的质量。
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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