A Neural-Network-Based Optimal Resource Allocation Method for Secure IIoT Network

Data security and resource allocation are two important terms associated with the Internet of Things (IoT). This recent technical evolution has made its mark in industrial applications making the network more flexible and computation friendly through connecting all the devices. As a subset of IoT, t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE internet of things journal 2022-02, Vol.9 (4), p.2538-2544
Main Authors: Goswami, Pratik, Mukherjee, Amrit, Maiti, Moinak, Tyagi, Sumarga Kumar Sah, Yang, Lixia
Format: Article
Language:English
Subjects:
Artificial neural networks
Channel security
convolutional neural network (CNN)
Industrial applications
Industrial Internet of Things
Industrial Internet of Things (IIoT)
Interference
Internet of Things
Mathematical analysis
Neural networks
Optimization
Resource allocation
Resource management
Security
signal-to-interference ratio (SIR)
wireless sensor network (WSN)
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Data security and resource allocation are two important terms associated with the Internet of Things (IoT). This recent technical evolution has made its mark in industrial applications making the network more flexible and computation friendly through connecting all the devices. As a subset of IoT, the framework of Industrial IoT (IIoT) is based on the huge number of nodes with the continuous process of multiple works at a time. Due to this, multiobjective network, interference in the path always becomes the reason for the loss of network resources as well as the security of data becomes vulnerable. In most of the previous works, dedicated channel states are considered for fixed resources which remains a major issue of IIoT network flexibility along with security. In this article, both the problems are incorporated by calculating the channel security and using convolutional neural network (CNN) optimal channel state extracted for different applications. This results as a fast system with proper utilization of resources and validated with mathematical analysis and simulations.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2021.3084636