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Related Experiment Video

Updated: Oct 26, 2025

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

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Published on: September 8, 2023

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing.

Inam Ullah Khan¹, Muhammad Abul Hassan², Mohammad Dahman Alshehri³

¹Department of Electronic Engineering, School of Engineering and Applied Sciences, Isra University, Islamabad, Pakistan.

Journal of Healthcare Engineering

|July 26, 2021

Summary

This summary is machine-generated.

This study introduces AntHocNet, an ant-based routing technique for flying ad hoc networks (FANETs). It optimizes Unmanned Aerial Vehicle (UAV) networks by considering residual energy for improved safety and efficiency.

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Flying ad hoc networks (FANETs) using unmanned aerial vehicles (UAVs) offer numerous applications but face challenges like packet loss, latency, and disrupted links due to high mobility.
Unbalanced energy consumption in UAVs leads to premature mission failure and reduced network lifespan, impacting the reliability of aerial networks.
Existing IoT applications in sports and healthcare using aerial vehicles highlight the need for robust and efficient network solutions.

Purpose of the Study:

To enhance the safety and efficiency of UAV-enabled flying networks by addressing challenges related to mobility and energy consumption.
To propose and evaluate an ant-based routing technique that optimizes data delivery and network lifespan in FANETs.
To demonstrate the potential of smart flying IoT applications in healthcare and sports through improved network performance.

Main Methods:

Implementation of an ant-based routing protocol named AntHocNet.
Utilization of each UAV's residual energy level as a key factor in the routing decisions.
Simulation-based comparison of the proposed routing algorithm against other existing protocols.

Main Results:

The proposed ant-based routing protocol, AntHocNet, demonstrated optimal performance in simulations.
Considering residual energy levels improved the safety and reliability of data delivery in the UAV network.
The study indicates significant improvements in network efficiency and lifespan compared to other routing algorithms.

Conclusions:

AntHocNet is an effective routing strategy for enhancing safety and performance in flying ad hoc networks.
The integration of UAVs with IoT technologies, guided by efficient routing, promises advancements in smart applications like healthcare and sports.
Residual energy-aware routing is crucial for the sustained operation and longevity of mobile aerial networks.