A Fuzzy-Based Method for Objects Selection in Blockchain-Enabled Edge-IoT Platforms Using a Hybrid Multi-Criteria Decision-Making Model

The broad availability of connected and intelligent devices has increased the demand for Internet Things (IoT) applications that require more intense data storage processing. However, cloud-based IoT systems are typically located far from end-users face several issues, including high cloud server load, slow response times, a lack global mobility. Some these flaws can be addressed with edge computing. In addition, node selection helps avoid common difficulties related to IoT, network lifespan, allocation resources, trust in acquired by selecting correct nodes at suitable period. On other hand, IoT’s interconnection blockchain technologies gives fresh perspective on access control framework design. This article provides novel approach blockchain-enabled quick dependable selection. Moreover, fuzzy logic approximation was used manage numerical linguistic simultaneously. Technique Order Preference Similarity Ideal Solution (TOPSIS), powerful tool examining Multi-Criteria Decision-Making (MCDM) problems, is used. suggested fuzzy-based technique employs three input criteria select given mission IoT-edge situations. outcomes experiments indicate proposed enhances parameters under consideration.