Survey: Handling on Difficulties in Internet of Things (IoT) Applications and Its Challenges

S. Rajkumar, L. Deborah
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引用次数: 5

Abstract

Internet of things in broader sense and importance on protocols, technologies and application along related issues, is a collection of application and information mining system to naturally find and assembled data from web archives and administrations which can be in organized, unstructured or semi-organized form. Accuracy and relevance of information extracting from the internet is the most significant issue of concern for the realization of Data. Fast improvement of PC and data innovation a huge measure of tera-byte to peta-bytes information will ceaselessly be produced in huge scale, either being stored in massive storage devices or streaming into and out of the framework as information streams. Information mining, as the conjunction of various entwined disciplines, including insights, machine learning, design acknowledgment, database frameworks, data recovery, World-Wide Web, perception, and numerous application spaces, has gained awesome ground in the previous decade. The overview about IoT technologies, protocols and applications and related issues with comparison of other survey papers. Our main aim to provide a framework to researcher and application developer that how different protocols works, over view of some key issues of IoT and the connection amongst IoT and other embryonic advances including huge information examination and distributed computing.
调查:处理物联网应用中的困难及其挑战
从广义上讲,物联网在协议、技术和应用等相关问题上具有重要意义,它是一个应用程序和信息挖掘系统的集合,可以自然地从web档案和管理中发现和组装有组织、非结构化或半组织形式的数据。从互联网中提取信息的准确性和相关性是数据实现中最重要的问题。PC的快速改进和数据的创新,海量的兆字节到千兆字节的信息将以巨大的规模不断产生,或者存储在海量的存储设备中,或者以信息流的形式进出框架。信息挖掘作为各种相互交织的学科的结合,包括洞察力、机器学习、设计确认、数据库框架、数据恢复、万维网、感知和众多应用程序空间,在过去十年中取得了令人敬畏的进展。概述物联网技术、协议和应用以及相关问题,并与其他调查论文进行比较。我们的主要目标是为研究人员和应用程序开发人员提供一个框架,了解不同协议的工作原理,概述物联网的一些关键问题以及物联网与其他萌芽进展之间的联系,包括海量信息检查和分布式计算。
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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