# Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path
###### Abstract  
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are still not ready for the worst. New and better solutions need to be applied so that we will be capable of fighting these conditions. One such prospect is delivery, where everything has to be changed, and each parcel, which was passed people to people, department to department, has to be made contactless throughout with as little error as possible. Thus, the prospect of drone delivery and its importance came around with optimization of the existing system for making it useful in the prospects of delivery of important items like medicines, vaccines, etc. These modular AI-guided drones are faster, efficient, less expensive, and less power-consuming than the actual delivery.  
pandemic; modular; AI; delivery system; drones; unmanned aerial vehicle +
Footnote †: journal: Future Internet  
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and speed. For instance, during a journey by land, it is generally described through two points or by distance like Mumbai to Pune, but in aviation, the journey is by time like a 2-hour flight, so clearly, time is of greater priority.  
On the other hand, UAVs are aerial vehicles where time is the measure of efficiency and output. A drone's efficiency is calculated by how much flight time is given by it. Thus, GPS (used for coordinates or tracking) cannot be used as a path. The more efficient path is one using less time. Moreover, with the drone's tech, distance and displacement mean the same thing. The upthrust and the forward speed work in sync to move the drone while the main challenge is to follow a certain path.  
The primary challenges discussed in this paper are as follows:  
* First, the drone has to follow the path. For this, the path should be defined and also be a system that controls the motors and the body of the UAVs for the path to follow;
* Secondly, the height limits. There are certain maximum heights for UAVs to fly at, which are decided by the legal bodies. It limits the area and also the path choices and the efficiency as there has to be a constant path where height would not increase though the UAVs still move forward;
* The UAVs are automatic. The machine should be capable of making the decisions of when to start, ascend or descend, or just move straight;
* As there are no guides or drivers, the machine should be self-driven. The air is full of traffic both natural and man-made, with buildings also soaring beyond imagination into the sky. The UAVs must be installed with an AI or guiding system to overcome barriers, precautions, and damage control, and also specific conditions as to when to activate what system. This must be overlooked by an AI, which is complex to develop;
* As the UAV is automatic and its development will result in an increase, there must be some tracking systems that continuously transmit and store ion servers with all the changes during the journey until the journey is completed and during an emergency, it should be located easily.  
In this paper, we design an algorithm that will not only define the path of the drone to reach its destination, but will also be an automated path, i.e., it does not require piloting, rather it is self-driven, and this algorithm helps to increase the efficiency and provide higher output and thus it can carry out a more complex task at a greater speed.