Research Article SoftSystem: Smart Edge Computing Device Selection Method for IoT Based on Soft Set Technique Muhammad Shafiq , 1 Zhihong Tian , 1 Ali Kashif Bashir , 2 Korhan Cengiz , 3 and Adnan Tahir 4 1 Department of Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China 510006 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 Correspondence should be addressed to Zhihong Tian; tianzhihong@gzhu.edu.cn Received 22 August 2020; Revised 15 September 2020; Accepted 30 September 2020; Published 9 October 2020 Academic Editor: Rahul Yadav Copyright © 2020 Muhammad Shafiq et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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. 1. Introduction Recently, 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]. Similarly, edge device in a network ensures the reliability and saved bandwidth with dealing a large por- tion of data. On the other hand, the Industrial Internet of Things (IIoT) got very important in IoT technology. IoT is the technology used to interconnect Device-to-Device (D2D). Due to interconnected intelligent sensors in the IoT network environment, life becomes very convenient. As in this technology, numerous smart IoT devices are intercon- nected with each other for communication, generating and exchanging data for different purposes such as decision mak- ing and providing better services for better lives. More in- depth, due to IoT technology, life becomes more convenient, and it became an essential part of our daily life. However, this technology has some issues that should study more in-depth and proposed a useful model for communication from one node to another node, especially in the edge computing net- work environment. The critical issue is the effective IIoT device recommendation or selection, whenever there are several IoT devices to carry a task. In Figure 1 is shown the fundamental IoT five layers as (1) Perceptional Layer, (2) Network Layer, (3) Middleware Layer, (4) Application Layers, and (5) Business Layer. In the IIoT network, the connected smart devices are connected through wireless communication between intelligent nodes. However, the interconnected intelligent nodes are temporally connected with each other, and mostly the developed topology of this network changed from time to time whenever need. The question arises here, which is why the connection between node to node or machine to machine temporally is due to Hindawi Wireless Communications and Mobile Computing Volume 2020, Article ID 8864301, 10 pages https://doi.org/10.1155/2020/8864301