2020/11/22 by Mustafa Tosun, Umut Can Çabuk, Tosun, Mustafa +5
Computer Science · Engineering · #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Opportunistic and Delay-Tolerant Networks #UAV Applications and Optimization
paper · pdf · doi:10.48550/arxiv.2011.11126
openalex publication_date 2020/11/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Drone networks are becoming increasingly popular in recent years and they are\nbeing used in many applications such as area coverage, delivery systems,\nmilitary operations, etc. Area coverage is a broad family of applications where\na group of connected drones collaboratively visit the whole or parts of an area\nto fulfill a specific objective and is widely being researched. Accordingly,\ndifferent mobility models have been designed to define the rules of movements\nof the participating drones. However, most of them do not consider the network\nconnectivity which is crucial, plus many models lack the priorities and\noptimization strategies that are important for drone networks. Therefore within\nthis study, three known connectivity-aware mobility models have been analyzed\ncomparatively. Two non-connectivity-aware mobility models have further been\nimplemented to catch the placebo effect if any. Per the detailed experiments on\nthe mobility models, coverage rates, connectivity levels, and message traffic\nhave been evaluated. The study shows that the Distributed Pheromone Repel (DPR)\nmodel provides a decent coverage performance, while the Connectivity-based\nmodel and the Connected Coverage model provide better connectivity and\ncommunication quality.\n