A Review of Identity Methods of Internet of Things (IOT)

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.

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

“…Naming means the object ID has the meaning of the name of the object such as "object 1" while address means the address where the object is in the communication network where the IoT device is used. The example IoT node naming for identification such as electronic product codes (EPC) [119], Radio Frequency Identification (RFID) [120]- [123], Finger Print [124], ubiquitous code (uCode) [125], [126]. The example IoT node addressing for identification such as IPv4 [127], [128], and IPv6 [129]- [132].…”

Network Source Identification Mechanism for IoT Devices Using Machine Learning Techniques

“…However, with the continuous development of IoT and the increasing number of connected objects, there is a need for improved identification methods. These methods incorporate technologies like fingerprinting and ML, aiming to enhance identification [2]. This paper aims to build a source identification mechanism using machine learning techniques for IoT gadgets so as to improve the safety and accountability of IoT network users.…”

An Optimized Energy Harvesting Circuit for Low-Power IoT Applications

“…Current advancements in wireless communications, sensors and integrated processing platforms have paved the way to design affordable, low-power compact electronics that can access the internet. These are the core features of the emerging Internet of Things concept (Bkheet & Agbinya, 2021;Marinakis & Doukas, 2018;Samie et al, 2016;Villamil et al, 2020). The rapid spread of the Internet of Things as a prospect for the electronics sector necessitates highly proficient sensor node development (Ahmad et al, 2017;Kaur & Sood, 2017).…”