2020/05/10 by Ali Rahmati, Rahmati, Ali, Seyyedali Hosseinalipour +7
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Electrical engineering #Opportunistic and Delay-Tolerant Networks #Signal Processing (eess.SP) #Systems and Control (eess.SY) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.04585
openalex publication_date 2020/05/10 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Deployment of unmanned aerial vehicles (UAVs) is recently getting significant\nattention due to a variety of practical use cases, such as surveillance, data\ngathering, and commodity delivery. Since UAVs are powered by batteries, energy\nefficient communication is of paramount importance. In this paper, we\ninvestigate the problem of lifetime maximization of a UAV-assisted network in\nthe presence of multiple sources of interference, where the UAVs are deployed\nto collect data from a set of wireless sensors. We demonstrate that the\nplacement of the UAVs play a key role in prolonging the lifetime of the network\nsince the required transmission powers of the UAVs are closely related to their\nlocations in space. In the proposed scenario, the UAVs transmit the gathered\ndata to a primary UAV called \leader, which is in charge of forwarding\nthe data to the base station (BS) via a backhaul UAV network. We deploy tools\nfrom spectral graph theory to tackle the problem due to its high non-convexity.\nSimulation results demonstrate that our proposed method can significantly\nimprove the lifetime of the UAV network.\n