THE ROLE OF DEPENDABILITY IN IOT SYSTEMS

Abstract

The advances in the Internet of Things (IoT) have contributed to the automation of various industries by enabling devices and systems to effectively connect and collect data remotely over the internet. This progress has led to the creation of an intelligent society where physical things are becoming increasingly innovative and undoubtedly, the IoT systems will continue to impact real life by providing efficient data collection and sharing. The successful implementation of IoT systems relies on their dependability, which is closely tied to several factors such as their reliability, resilience, and security. This paper explores the crucial role of dependability in IoT system, emphasizing challenges such as real-time analysis, resource constrains, connection redundancy, and quick fault recovery. The paper also provides some strategies for overcoming dependability challenges, such as efficient algorithms, edge computing, prioritization of resources, and AI techniques integration. Additionally, the paper presents a case study of an IoT system that faced dependability problems, highlighting the importance of rigorous testing and redundancy in ensuring reliable IoT deployments. As a result of this research, we suggest that by addressing the challenges related to dependability aspects, stakeholders can unlock the full potential of IoT, empowering industries and individuals with transformative, efficient, and reliable technologies. For future work, a frame work for evaluating and enhancing the IoT dependability will be developed. Several factors will be considered in developing this framework, such as reliability, availability, safety, security, resilience, and fault management. The framework will define a quantifiable metrics to measure these factors.

Authors and Affiliations

Mohammad Ibraigheeth

Keywords

Related Articles

ENHANCING UNIVERSITY ELECTRONIC BOOK ACQUISITION STRATEGY USING A DEEP FOREST FUSION APPROACH

This study presents a new approach, LHGCAT-XDF, to improve the efficiency of electronic book procurement in university settings by combining the strengths of the LightGBM and CatBoost algorithms. This innovative model be...

Machine Learning-Based Mobile Payment System for Empowering Low-Income Earners in India

In the contemporary era, mobile phones have become indispensable, serving as communication devices and offering myriad applications. Among these applications, mobile payment systems hold great potential in driving the tr...

Impact Of Using Fiber Delay Scheme On Burst Loss Ratio And Delay Using Offset Time Algorithm For Optical Burst Switching Networks

The optical burst switching (OBS) paradigm is an intermediate optical switching solution between optical packet switching (OPS) and optical circuit switching (OCS). In addition, OBS has enormous bandwidths...

Machine Learning Techniques for Resource Management: A Survey Study

Abstract :The study's objective was to use machine learning techniques to provide an overview of resource management issues. In order to demonstrate how resource management machine learning algorithms function, the study...

API Malware Analysis : Exploring Detection And Forensics Strategies For Secure Software Development

API Malware Analysis and Forensics is a key field of research in cybersecurity. It is critical to have strong defences in place to detect and prevent malware attacks. APIs, since they can have disastrous consequen...

Download PDF file
  • EP ID EP764781
  • DOI -
  • Views 13
  • Downloads 0

How To Cite

Mohammad Ibraigheeth (2023). THE ROLE OF DEPENDABILITY IN IOT SYSTEMS. Journal of Intelligent Systems and Applied Data Science (JISADS), 1(2), -. https://www.europub.co.uk/articles/-A-764781