地理物联网与先进技术的融合

Monalisha Sinha, Shalini, M. Thejaswini
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引用次数: 0

摘要

物联网是一种新兴的数字技术,每个物理对象都通过互联网相互连接。嵌入GPS传感器的物联网设备被称为地理物联网系统,其中空间数据是开发任何物联网服务和应用程序的最突出要求。地理物联网数据可用于各种物联网应用,用于优化路线、跟踪资产、实时交通通知、自动驾驶、精准农业、防盗等。本文综述了Geo-IoT与人工智能、机器学习和区块链技术等先进技术的融合。本文主要讨论了人工智能和机器学习方法在解决和计算基于位置的物联网数据方面的现状和适用性,以开发新的高级地理物联网应用、路由协议和安全问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence of Geo-IoT with Advanced Technologies
IoT is an emerging digital technology where every physical object is connected to one another via the internet. IoT devices embedded with GPS sensors are called Geo-IoT systems where spatial data is the most prominent requirement in developing any IoT services and applications. Geo-IoT data can be used in various IoT applications for optimizing routes, tracking assets, real-time traffic notification, auto-driving, precision agriculture, anti-theft prevention, etc. This paper provides a review of the convergence of Geo-IoT with advanced technologies such as artificial intelligence, machine learning, and blockchain technology. This paper mainly discusses the current status and applicability of artificial intelligence and machine learning methods in solving and computing location-based IoT data for developing new advanced Geo-IoT applications, routing protocols, and security issues.
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