SoftSystem: Smart Edge Computing Device Selection Method for IoT Based on Soft Set Technique

Author:

Shafiq Muhammad1ORCID,Tian Zhihong1ORCID,Bashir Ali Kashif2ORCID,Cengiz Korhan3ORCID,Tahir Adnan4ORCID

Affiliation:

1. Department of Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510006, China

2. Department of Computing and Mathematics, Manchester Metropolitan University, UK

3. Department of Electrical-Electronics Engineering, Trakya University, 22030 Edirne, Turkey

4. College of Information and Communication Engineering, Shenzhen University, Shenzhen, China

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.

Funder

Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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