A Critical Analysis of Sensor based IoT Architectures using Fuzzy TOPSIS

Gupta, Neeti; Sharma, Vidushi; Kashyap, Monika

doi:10.1109/icacccn.2018.8748382

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…According to Chen's method [53], the technique of fuzzy TOPSIS is like classical TOPSIS. Various studies have already been conducted by using fuzzy logic with TOPSIS for the IoT [54,55].…”

Section: Technique For Order Preference By Similarity To Ideal Solutimentioning

confidence: 99%

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Tariq

Mian

Sohail

et al. 2020

Mobile Information Systems

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The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.

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“…According to Chen's method [53], the technique of fuzzy TOPSIS is like classical TOPSIS. Various studies have already been conducted by using fuzzy logic with TOPSIS for the IoT [54,55].…”

Section: Technique For Order Preference By Similarity To Ideal Solutimentioning

confidence: 99%

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Tariq

Mian

Sohail

et al. 2020

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…With various parameters such as rainfall, water flow velocity, water level, temperature, and humidity. TOPSIS was used due to its flexibility in handling multi-criteria and efficient in the case of realtime data processing [35].…”

Section: Introductionmentioning

confidence: 99%

Design of Flood Early Detection Based on the Internet of Things and Decision Support System

Warni,

Angriawan

et al. 2024

ISI

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A Multi-Criteria Decision-Making Process for the Selection of an Efficient and Reliable IoT Application

Alojaiman

2023

Processes

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Saudi Arabia initiated its much-anticipated Vision 2030 campaign, a long-term economic roadmap aimed at reducing the country’s reliance on oil. The vision, which is anticipated to be accomplished in the future, underlines compliance, fiscal, and strategy adjustments that will significantly affect all the important features of Saudi economic growth. Technology will be a critical facilitator, as well as controller, of the initiative’s significant transformation. Cloud computing, with the Internet of things (IoT), could make significant contributions to Saudi Vision 2030’s efficient governance strategy. There are multiple IoT applications that cover every part of everyday life, as well as enabling users to use a variety of IoT applications. Choosing the best IoT applications for specific customers is a difficult task. This paper concentrates on the Kingdom’s advancement towards a fresh, as well as enhanced, method of advancing the development phases pertaining to digital transformation, through implementing and adopting modern communications infrastructure and ICT technology. In addition, this study proposes a recommendation system that relies on a multi-criteria decision-making investigation focusing on the fuzzy TOPSIS method for selecting highly efficient IoT applications. The prototype, as well as the hierarchy, was created to assess and correlate critical criteria based on specialist preferences and recommendations. The T5 IoT application alternative was shown to be the most highly effective and reliable choice according to the findings of both fuzzy TOPSIS and TOPSIS.

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A Critical Analysis of Sensor based IoT Architectures using Fuzzy TOPSIS

Cited by 3 publications

References 15 publications

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Design of Flood Early Detection Based on the Internet of Things and Decision Support System

A Multi-Criteria Decision-Making Process for the Selection of an Efficient and Reliable IoT Application

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