Positioning of pole Instruments using drone systems: an empirical analysis

As they interfere with communication networks and make it more difficult to conduct Search and Rescue (SAR) operations, disasters pose serious risks to human life. Restoring operational communication networks in times of crisis is difficult and time-consuming. In catastrophe situations, SAR operations are essential for reducing dangers to both people and the environment. As a result, communication networks must be quickly deployed in order to support SAR operations and enable the sharing of emergency data. Unmanned Aerial Vehicle (UAV) technology is a promising way to deal with problems that arise during catastrophes. UAVs may be used to create emergency communication networks on adaptable and dependable platforms, which can help with important problems that arise during SAR operations. In order to speed up SAR operations, this article assesses the network performance of intelligent edge computing aided by UAVs.During emergencies, these technology may be quickly put to use and help in person rescues. We evaluate a number of network factors, such as path loss, throughput, latency, and transmitted and received traffic. We show notable gains in network performance by parameter optimisation, which ultimately improves the effectiveness of SAR missions in challenging locations and crisis situations. This study highlights how UAV-assisted intelligent edge computing may support SAR operations and enhance crisis management resultsparadigm into practice and provide ways around them.