ランダムウォーク移動アルゴリズムの期待被覆率解析
Expected Coverage of Random Walk Mobility Algorithm
UAVの対称ランダムウォーク移動における期待被覆率をマルコフモデルで解析的に導出し、シミュレーションと比較した論文。
著者: Moritz Kohls, Tanja Hernandez
分類: stat.AP, cs.RO
原文アブストラクト
Unmanned aerial vehicles (UAVs) have been increasingly used for exploring areas. Many mobility algorithms were designed to achieve a fast coverage of a given area. We focus on analysing the expected coverage of the symmetric random walk mobility algorithm with independent mobility. Therefore we proof the dependence of certain events and develop Markov models, in order to provide an analytical solution for the expected coverage. The analytic solution is afterwards compared to those of another work and to simulation results.
