Abstract

The Internet of Things (IOT) is a recent technology originating from the field of sensor networks. It has received significant attention because it is involved in most aspects of our daily lives. The IOT vision makes objects of various kinds become part of the Internet by assigning each object a unique identifier, enabling objects to communicate with each other in the same or different environments. IOT can collect, process, and exchange data via a data communication network. There are many methods for identifying objects; some have existed since the beginning of IOT innovation, such as Radio Frequency Identification (RFID), Barcode/2D code, IP address, Electronic Product Codes (EPC), etc. Continuous development in IOT domain and the large number of objects connected to the Internet daily require an improved identification method to cope with the rapid development in this field. Many modern methods have been proposed recently, based on various technologies such as computer vision, fingerprinting, and machine learning. This paper introduces an overview of IOT and discusses its fundamental elements; it mainly focuses on identification of IOT which is considered the main part that the IOT systems rely on. The paper discusses the existing identification methods for IOT. Moreover, it provides a review of the modern identification methods proposed in recent literature.

Highlights

  • The Internet has been rapidly growing in the last few decades

  • There are many methods for identifying objects; some have existed since the beginning of Internet of Things (IOT) innovation, such as Radio Frequency Identification (RFID), Barcode/2 Dimensional Barcodes (2D code), Internet Protocol (IP) address, Electronic Product Codes (EPC), etc

  • Some methods has presented the use of deep learning in IOT platforms such as the work in [55] has used deep learning (DL) technique to choose the useful information from huge volumes of multimedia data collected by IOT devices in smart agriculture environment that are utilized to improve the quality of life

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Summary

Introduction

I. Agbinya interconnected physical objects, or “things” known as smart objects that are typically equipped with sensors or actuators, tiny microprocessors, communication interfaces, and a power source. “things” known as smart objects that are typically equipped with sensors or actuators, tiny microprocessors, communication interfaces, and a power source This concept is commonly known as the Internet of Things (IOT). They need to authenticate each other to know that they talk to the particular party. Authentication typically involves identification in different ways, such as the use of unique numbers, names, or tokens [1] [2] [3] [4] [5]

The Elements of IOT
IP Address
IPv6 and 6LoWPAN
The Prior Identification Methods
Identification Using the Fingerprints of Things
Identification Using Computer Vision
Identification Using Machine Learning Methods
Fuzzy Logic
Findings
Conclusions
Full Text
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