Internet of Things framework development using Fuzzy approach

Abstract

Given the increasing usage of the Internet of Things (IoT) based services in all industries, integration and knowledge sharing between different scopes have valuable outputs and improve the competition in the ecosystem. So having a unique framework aids companies to increase their service value, decrease implementation cost, and as a result increase their earnings. Lack of integrated framework or best practices could yield to silo based activities that does not present the value of industrial IoT technology. This diversity may cause severe impact on both expected business value added services and platforms’ security threats as well. So, in this study based on an in-depth review and the research results done in the IoT scope by international groups like OneM2M and IEEE P2413, four factors namely, knowledge creation, determination of service type, quality of services, and securing data transmission of users were identified and mapped to corresponding layers. These factors were adapted in Telecommunication industry that could increase the market share via IoT utilization. Then, using a hybrid quantitative approach, namely Fuzzy Decision Making and Trial Evaluation Laboratory (FDEMATEL) and Fuzzy Analytic Network Process (FANP) techniques, known as FDANP the importance and weight of each aforementioned factors in building the adapted framework was determined. The result of the analysis shows that the most important factor is “service type” and the most influential factor is “knowledge creation” whereas “quality of service” factor is the most permeable factors.

Keywords

• Internet of Things (IoT)
• Telecommunication Companies
• Information Technology (IT)
• Fuzzy theory
• FDANP