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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Smart City IoT System Network Level Routing Analysis and Blockchain Security Based Implementation.

Samuyelu Bommu¹, Aravind Kumar M², Kiranmai Babburu³

¹Department of Electronics and Communication Engineering, PVP Siddhartha Institute of Technology, Vijayawada, 520007 Andhra Pradesh India.

Journal of Electrical Engineering & Technology

|July 31, 2023

Summary

This summary is machine-generated.

This study analyzes and implements a smart city Internet of Things (IoT) system using cloud computing. It enhances network performance and security for comprehensive city monitoring.

Keywords:

Blockchain technology IoT technology Network simulation Smart applications

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Area of Science:

Computer Science
Electrical Engineering
Urban Planning

Background:

Smart city initiatives require robust Internet of Things (IoT) infrastructure for effective data collection and management.
Existing IoT systems face challenges in network-level performance, Quality of Service (QoS), and security, particularly in large-scale deployments.
Infrastructure as a Service (IaaS) cloud computing offers a scalable platform for smart city applications.

Purpose of the Study:

To perform network-level performance analysis and implementation of a smart city IoT system using an IaaS cloud architecture.
To address and enhance routing, QoS, and security challenges within the smart city IoT network.
To validate the performance of the proposed smart city IoT topology through simulation and practical implementation.

Main Methods:

Network topology performance analysis was conducted using the NS3 simulator.
Key performance-determining parameters were extracted and analyzed.
A performance-enhanced smart city IoT topology was implemented on an IaaS cloud platform.
Blockchain technology was integrated for enhanced system security and decentralization.

Main Results:

The study achieved network-level performance analysis and practical implementation of a smart city IoT system.
The implemented system effectively monitors various parameters including video surveillance, environmental data, and traffic.
Simulation analysis identified improvements in routing and Quality of Service (QoS).
Blockchain integration enhanced the security of the IoT system.

Conclusions:

The developed smart city IoT system, leveraging IaaS cloud architecture, demonstrates effective network performance and comprehensive monitoring capabilities.
The integration of blockchain technology significantly improves the security and decentralization of the IoT system.
The findings provide a scalable and secure framework for future smart city developments.