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Related Experiment Video

Updated: Mar 13, 2026

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

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

Published on: September 8, 2023

Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-Techniques.

Saleem Aslam¹, Najam Ul Hasan², Adnan Shahid³

¹Department of Electrical Engineering, Bahria University, E-8 Naval Complex, Islamabad 44000, Pakistan. saleem.aslam@bui.edu.pk.

Sensors (Basel, Switzerland)

|October 27, 2016

Summary

This study introduces a novel particle swarm optimization algorithm to optimize channel assignment for heterogeneous Internet of Things (IoT) devices in smart buildings. The proposed method enhances Quality of Service (QoS) provisioning, improving throughput and channel stability.

Keywords:

Internet of Things channel scheduling cognitive radio networks quality of service smart building

Related Experiment Videos

Last Updated: Mar 13, 2026

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

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

Published on: September 8, 2023

Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

The Internet of Things (IoT) is increasingly vital in communication and networking, enabling diverse applications from smart homes to healthcare.
Heterogeneous IoT devices have varying traffic patterns and Quality of Service (QoS) requirements, including data rate, bit error rate, and channel stability.
Efficient channel assignment is crucial for meeting these diverse QoS demands in complex IoT networks.

Purpose of the Study:

To formulate an optimization problem for assigning channels to heterogeneous IoT devices within a smart building environment.
To ensure the provisioning of desired Quality of Service (QoS) for each device.
To address the challenge of diverse traffic patterns and QoS expectations in IoT networks.

Main Methods:

Formulation of a channel assignment optimization problem tailored for heterogeneous IoT devices in smart buildings.
Development and proposal of a novel particle swarm optimization (PSO)-based algorithm to solve the formulated problem.
Extensive simulations conducted to rigorously evaluate the performance of the proposed algorithm.

Main Results:

The proposed particle swarm optimization algorithm demonstrates superior performance compared to existing methods.
Significant improvements observed in key performance metrics: throughput, bit error rate (BER), and channel stability index.
The algorithm effectively manages channel allocation for heterogeneous IoT devices, meeting their specific QoS needs.

Conclusions:

The novel PSO-based algorithm provides an effective solution for channel assignment in heterogeneous IoT networks.
The proposed approach successfully enhances overall network performance, particularly in terms of throughput and channel stability.
This work contributes to the efficient deployment and operation of smart building IoT systems.