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A geographical division clustering algorithm for multiple flying base stations
Author(s) -
Lee Jongyul,
Lyu Xiao,
Friderikos Vasilis
Publication year - 2020
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.228
Subject(s) - cluster analysis , division (mathematics) , base station , computer science , set (abstract data type) , algorithm , base (topology) , transmission (telecommunications) , hierarchical clustering , data mining , computer network , artificial intelligence , telecommunications , mathematics , mathematical analysis , arithmetic , programming language
Unmanned Aerial Vehicles (UAVs) can play a significant role as flying base station (FBSs) in assisting terrestrial base stations (BSs) to increase overall network capacity by providing localized transmission to a set of users. In that respect, FBSs can be deployed from a terrestrial macro BS which can act as the depot. In this letter, we propose two flavors of a Geographical Division (GD) clustering algorithm to assign FBSs located at the same terrestrial BS to a set of end users. Numerical investigations demonstrate that the proposed algorithm outperforms the two most widely used and best known clustering algorithms for this specific problem, namely K ‐means and Hierarchical clustering algorithms.