Application of artificial intelligence in Internet of Things

Abdulhafis Abdulazeez Osuwa, E. Ekhoragbon, L. T. Fat
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引用次数: 38

Abstract

Artificial intelligence is the best solution to manage huge data flows and storage in the IoT network. IoT nowadays becoming more and more popular with the inventions of highspeed internet networks and many advanced sensors that can be integrated into a microcontroller. The data flows internets now will have sensors data and user data that send and receive from the workstations. With the increase in the number of workstation and more and more sensors, some data may be facing problems on the storage, delay, channels limitation and congestion in the networks. To avoid all these problems, there were many algorithms were proposed in the past of 10 years. Among all the algorithms, Artificial Intelligence still being the best solution to the data mining, manage and control of congestion in the network. The aim of this paper is to present the application of artificial intelligence system in the IoT. The importance of data mining and management will be highlighted in the paper. Also, the method used in the Artificial Intelligence like fuzzy logics and neural network also will be discussed in this paper in conjunction with IoT network. The self-optimizing network and software defined network are parts of the important parameters in the Artificial Intelligence IoT System.
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人工智能在物联网中的应用
人工智能是管理物联网网络中海量数据流和存储的最佳解决方案。随着高速互联网网络和许多可以集成到微控制器中的先进传感器的发明,物联网如今变得越来越受欢迎。数据流互联网现在将有传感器数据和用户数据,从工作站发送和接收。随着工作站数量的增加和传感器数量的增加,一些数据在网络中可能面临存储、延迟、信道限制和拥塞等问题。为了避免这些问题,在过去的10年里,人们提出了许多算法。在所有算法中,人工智能仍然是数据挖掘、网络拥塞管理和控制的最佳解决方案。本文的目的是介绍人工智能系统在物联网中的应用。本文将强调数据挖掘和管理的重要性。此外,本文还将结合物联网网络讨论模糊逻辑和神经网络等人工智能中使用的方法。自优化网络和软件定义网络是人工智能物联网系统的重要参数。
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