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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Network Management System for IoT Based on Dynamic Systems.

Mohammad Alsaffar¹, Abdulsattar Abdullah Hamad², Abdullah Alshammari¹

¹College of Computer Science and Engineering, Department of Computer Science and Information, University of Ha'il, Saudi Arabia.

Computational and Mathematical Methods in Medicine

|December 23, 2021

Summary

This summary is machine-generated.

This study presents an edge computing network management system for the Internet of Things (IoT). It addresses key device management needs for public sector IoT deployments, enhancing data collection and operational efficiency.

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Area of Science:

Computer Science
Information Technology
Network Engineering

Background:

The Internet of Things (IoT) integrates mobility, automation, and data analysis to revolutionize public sector data collection.
IoT networks utilize embedded sensors and devices for real-time information capture and transmission.

Purpose of the Study:

To design a network management system for IoT networks using an edge computing model.
To identify and analyze primary network management initiatives for IoT deployments.

Main Methods:

The proposed system employs an edge computing model for IoT network management.
It integrates the Internet management model with SNMP for device communication and SOAP for application interaction via a gateway.

Main Results:

The design facilitates efficient data collection and management in public sector IoT environments.
Four fundamental device management requirements were identified: provisioning/authentication, configuration/control, monitoring/diagnostics, and software updates/maintenance.

Conclusions:

The developed network management system is crucial for effective IoT deployment in the public sector.
Addressing the identified device management requirements ensures robust and secure IoT operations.