Integrating UAV-IoT Networks for Proactive Wildfire Detection: Innovations and Future Directions

View Sample PDF

Author(s): Rishabha Malviya (Galgotias University, India), Manmeet Kaur Arora (Sharda University, India)and Sahil Lal (Sharda University, India)
Copyright: 2025
Pages: 18
Source title: Machine Learning and Internet of Things in Fire Ecology
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Rishabha Malviya (Galgotias University, India), Bhupinder Singh (Sharda University, India), Sahil Lal (School of Law, Sharda University, Greater Noida, India)and Manmeet Kaur Arora (Sharda University, India)
DOI: 10.4018/979-8-3693-7565-5.ch008

Keywords: Ecology / Engineering Science Reference / Environment & Agriculture / Environmental Engineering

Purchase

View Integrating UAV-IoT Networks for Proactive Wildfire Detection: Innovations and Future Directions on the publisher's website for pricing and purchasing information.

Abstract

The most effective solutions brought to all industries, especially for environmental monitoring and disaster management with this integration is the Unmanned Aerial Vehicles (UAVs) combined with Internet of Things (IoT) technologies. The aim of this paper is to investigate the architecture, applications and challenges of UAV-IoT networks that have potential to support real-time data collection capabilities along with communication range. First, we develop a new concept of passive monitoring using UAVs as mobile platforms fitted with advanced sensors to sense data from ground-based IoT devices in various environments efficiently. Through teamwork between researchers, industry professionals and policy makers to address the current challenges of these technologies, they can be leveraged (if successfully applied) for sustainable development with more safety.

The IRMA Community

Research IRM

Integrating UAV-IoT Networks for Proactive Wildfire Detection: Innovations and Future Directions

Purchase

Abstract

Related Content

IRMA Sponsors