[Paper Review] A Study on Internet of Things based Applications

Deeksha Jain, P. Venkata Krishna+1 more|arXiv (Cornell University)|Jun 18, 2012

RFID technology advancements11 references19 citations

TL;DR

This paper provides a comprehensive analysis of Internet of Things (IoT) applications across healthcare, supply chain, defense, and agriculture, emphasizing object-centric connectivity via RFID and wireless sensor networks. It identifies key IoT properties—product information, electronic tagging, standardization, and data uploading—while highlighting critical challenges in privacy and security, establishing a foundational overview of IoT's evolution and practical implementation challenges.

ABSTRACT

This paper gives a detail analysis of various applications based on Internet of Thing (IoT)s. This explains about how internet of things evolved from mobile computing and ubiquitous computing. It emphasises the fact that objects are connected over the internet rather than people. The properties of Internet of Things (IOT) are product information, electronic tag, standard expressed and uploading information. It utilises the Radio Frequency Identification (RFID) technology and wireless sensor networks (WSN). IOT applications are used in domains such as healthcare, supply chain management, defence and agriculture. Lastly the paper focuses on issues involved in IOT. Though it is a boon, IOT faces certain crucial issues like privacy and security.

Motivation & Objective

• To analyze the evolution of IoT from mobile and ubiquitous computing paradigms.
• To examine the core properties of IoT, including product information, electronic tagging, standardization, and data uploading.
• To investigate IoT applications in diverse domains such as healthcare, supply chain management, defense, and agriculture.
• To identify and discuss critical challenges in IoT, particularly privacy and security concerns.
• To provide a foundational overview of IoT technologies, focusing on RFID and wireless sensor networks (WSN).

Proposed method

• The study employs a literature-based analytical approach to examine IoT applications and technologies.
• It traces the evolution of IoT from mobile and ubiquitous computing, emphasizing object-to-object communication over human-centric models.
• Radio Frequency Identification (RFID) technology is identified as a core enabler for object identification and tracking in IoT.
• Wireless Sensor Networks (WSN) are analyzed as a key infrastructure for real-time data collection and monitoring in IoT systems.
• The paper evaluates IoT applications through domain-specific case studies in healthcare, supply chain, defense, and agriculture.
• It discusses standardization and data interoperability as essential components for scalable IoT deployment.

Experimental results

Research questions

• RQ1 How has the Internet of Things evolved from mobile and ubiquitous computing models?
• RQ2 What are the fundamental properties that define an Internet of Things system?
• RQ3 In which real-world domains are IoT applications currently being implemented and what are their primary functions?
• RQ4 What are the key enabling technologies for IoT, particularly RFID and wireless sensor networks?
• RQ5 What critical challenges, especially in privacy and security, must be addressed for widespread IoT adoption?

Key findings

• IoT evolved from mobile and ubiquitous computing by shifting focus from human-to-human communication to object-to-object connectivity.
• Core IoT properties include product information, electronic tagging, standardization, and data uploading, enabling seamless object identification and data exchange.
• RFID and wireless sensor networks (WSN) are foundational technologies for implementing IoT systems.
• IoT applications are actively deployed in healthcare (e.g., remote patient monitoring), supply chain (e.g., real-time tracking), defense (e.g., surveillance), and agriculture (e.g., environmental monitoring).
• Despite its potential, IoT faces significant challenges related to privacy and security, which remain critical barriers to large-scale deployment.
• The study establishes a conceptual and technological framework for understanding IoT's structure, functionality, and limitations as of 2012.