Unmanned Aerial Vehicle (UAV) networks can provide wireless coverage to users when cellular infrastructure is unavailable. Each UAV covers a circular area, called a hotspot cell, and serves the users in it. Natural disasters can cause unpredictable mobility of users, randomly overloading some cells, called hot zones, for different time intervals. Along with an efficient initial deployment, this paper presents a two-fold approach to handle hot zones. First, the loads in overlapped sections are redistributed to neighbors. Second, a distributed algorithm is run that dynamically re-positions the least number of UAVs to serve the maximum possible users. Additionally, to balance the user demand and supply of wireless coverage, adjacent UAVs are allowed to swap their positions. Simulation results show improvement in the network performance using the parameters: packet delivery ratio, data served per unit of depleted energy, service discontinuity time, and the total amount of data served.



    title={Dynamic Self-Reconfiguration of Unmanned Aerial Vehicles to Serve Overloaded Hotspot Cells},
    author={Amar Nath Patra, Paulo Alexandre Regis, and Shamik Sengupta},
    journal={Elsevier Computers and Electrical Engineering},