3D Deployment of Multiple UAVs for Emergent On-Demand Offloading

被引：0

作者：

Omran, Allafi ^{[1
]}

Sboui, Lokman ^{[1
]}

Kadoch, Michel ^{[1
]}

Chang, Zhengwei ^{[2
]}

Lu, Jizhao ^{[3
]}

Liu, Rongke ^{[4
]}

机构：

[1] Ecole Technol Super ETS, Dept Elect Engn, Montreal, PQ, Canada

[2] State Grid Sichuan Elect Power Co, Beijing, Peoples R China

[3] State Grid Henan Elect Power Co, Beijing, Peoples R China

[4] Beihang Univ, Sch Elect & informat Engn, Beijing, Peoples R China

来源：

2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC | 2020年

关键词：

K-means; Load Balancing; Pattern search; Unmanned Aerial Vehicle; UAV;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we address the problem of placing the unmanned aerial vehicles (UAVs) in an area covered by a congested or damaged base station (BS). We aim to cover the affected users while maximizing the operator's profit. We proposed to adopt the k-means method associated with the pattern search technique to find the optimal UAVs 3D locations. We show in the simulations, that our approach achieves higher profit and a higher load balancing index among UAVs.

引用

页码：692 / 696

页数：5

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