Abstract

The Internet of Things (IoT) is growing day by day, and new IoT devices are introduced and interconnected. Due to this rapid growth, IoT faces several issues related to communication in the edge computing network. The critical issue in these networks is the effective edge computing IoT device selection whenever there are several edge nodes to carry information. To overcome this problem, in this paper, we proposed a new framework model named SoftSystem based on the soft set technique that recommends useful IIoT devices. Then, we proposed an algorithm named Softsystemalgo. For the proposed system, three different parameters are selected: IoT Device Security (IDSC), IoT Device Storage (IDST), and IoT Device Communication Speed (IDCS). We also find out the most significant parameters from the given set of parameters. It is evident that our proposed system is effective for the selection of edge computing devices in the IoT network.

Highlights

  • More and more services are changed from cloud to edge device in the Industrial Internet of Things (IIoT) network because of saving processing time and ensuring the processing data in a short time response [1]

  • The proposed algorithm is efficient for the IoT device recommendations in network environments, especially when there are several IoT devices, and it is not easy to select which IoT device is effective for efficient communication between two smart nodes in the opportunistic network environment

  • The idea and implementation of our proposed Softsystemalgo is very simple and easy for the selection and decision making problem related to IoT devices, especially in the opportunistic network environment

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Summary

Introduction

More and more services are changed from cloud to edge device in the IIoT network because of saving processing time and ensuring the processing data in a short time response [1]. In this study, we adopted the soft set method to overcome the problem of effective IoT devices’ recommendation in the opportunistic network. (2) by using the selected different parameters, a new framework model named SoftSystem based on the soft set technique that recommends useful IIoT devices from several edge computing IIoT devices in the IIoT network is proposed. Step number two has several substeps, as discussed, with more information (3) based on SoftSystem, an algorithm named Softsystemalgo is proposed to effectively select edge computing devices in the IIoT network. Based on our study knowledge, it is the first time to integrate a soft set technique for the selection of IoT devices in the IoT network (4) Afterward, we put forward the results and selected edge computing devices in the IIoT network selected by our proposed system and algorithm.

Related Works
Proposed SoftSystem
Proposed Softsystemalgo Algorithm
Results
Conclusions
Full Text
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