Analysis of Congestion Control Techniques to Improve QoS and Frequent Communication in FANET

Abstract

Fanets, or Flying Ad Hoc Networks, is a field of study that is very interested in how unmanned aerial vehicles (UAVs) communicate with each other. Due to the ever-changing topology of a network, it might be difficult for mobile nodes to effectively communicate with one another. There is no physical infrastructure supporting this network, but the nodes, or UAVs, are equipped to deal with much more data than can be collected by sensors. Also, since UAVs fly so low to the ground, using short-range wireless links yields far better performance than using high-altitude wireless connectivity. Adaptive communications and a UAV mobility model developed in tandem can also increase performance. When a UAV has a stable connection to the ground station, for instance, it needs to move at a slower rate to maintain wireless contact. One of the most crucial indicators of a network’s efficiency is its routing. In this article, we propose analysis on how to improve QoS by controlling energy usage, congestion, and geolocation data by UAVs. QoS service improvement is influenced by a wide variety of factors, however, this analysis is focusing on energy, congestion, and physical location, size of UAVs and importance of UAVs in agriculture. To preserve network lifetime and keep the ratio of properly delivered packets and conventional routing mechanisms high, adaptively selected routes using minimal-cost routing and modified or updated routing techniques based on network conditions are used. A study of routing protocols is also discussed here in order to better understand the work being done in this area and to enhance routing protocol performance.