e-space
Manchester Metropolitan University's Research Repository

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

Shafiq, M and Tian, Z and Bashir, AK and Cengiz, K and Tahir, A (2020) SoftSystem: Smart Edge Computing Device Selection Method for IoT Based on Soft Set Technique. Wireless Communications and Mobile Computing, 2020. ISSN 1530-8669

[img]
Available under License Creative Commons Attribution.

Download (715kB)

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.

Impact and Reach

Statistics

Downloads
Activity Overview
1Download
8Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item