Communication via quad/hexa-copters during disasters

• Published in: International journal of intelligent unmanned systems Vol. 12; no. 2; pp. 169 - 178
• Main Authors: Vohra, D.S., Garg, Pradeep Kumar, Ghosh, Sanjay
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 16.04.2024; Emerald Group Publishing Limited
• Subjects: Algorithms; Bandwidths; Communication channels; Communications systems; Disasters; Drone aircraft; Drones; Forest fire detection; Forest fires; Landslides; Military applications; Particle swarm optimization; Power lines; Random variables; Robots; Telephones; Water filling algorithm; Particle swarm optimization (PSO); Drone
• ISSN: 2049-6427; 2049-6427
• DOI: 10.1108/IJIUS-03-2023-0023

PurposeThe purpose is to derive the most effective place in the air for an aerial robot, viz., drone to use as an alternative communication system during disasters.Design/methodology/approachIn this technology-driven era, various concepts are becoming the area of interest for multiple researchers. Drone technology is also one of them. The researchers, with interest in drones, are therefore trying to understand the various uses of employing drones in diverse applications which are mind-boggling, starting from civil applications (viz., an inspection of power lines, counting wildlife, delivering medical supplies to inaccessible regions, forest fire detection, and landslide measurement) to military applications (viz., real-time monitoring, surveillance, patrolling, and demining). However, one area where its usage is still to be exploited in many countries is using drones as a relay when communication lines are disrupted due to natural calamities. This will be particularly helpful in rescuing the affected people as the aerial node will enable them to communicate to the rescue team using mobiles/ordinary landline telephones even when regular communication towers are destroyed due to disastrous natural calamities, for example, tsunamis, earthquakes, and floods. Various algorithms, namely, water filling algorithm, advanced water filling algorithm, equal power distribution algorithm, and particle swarm optimization, were therefore studied and analyzed using simulation in addition to various path loss models to realize the desired place for an aerial robot, viz., drone in the air, which will eventually be used as an alternative communication system for badly hit ground users due to any disaster.FindingsIt was found that the effective combination of the water filling algorithm and particle swarm optimization algorithm may be done to place the drone in the air to increase the overall throughput of the affected ground users.Originality/valueThe research is original. None of the parts of this research paper has been published anywhere.