Name
Title | ||
|---|---|---|
Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective |
Abstract | ||
|---|---|---|
For large unmanned aerial vehicle (UAV) networks, the timely communication is needed to accomplish a series of missions accurately and effectively. The relay technology will play an important role in UAV networks by helping drones communicating with long-distance drones, which solves the problem of the limited transmission power of drones. In this paper, the relay selection is seen as the entry point to improve the performance of self-organizing network with multiple optimizing factors. Different from the ground relay models, the relay selection in UAV communication networks presents new challenges, including heterogeneous, dynamic, dense and limited information characteristics. More effective schemes with distributed, fast, robust and scalable features are required to solve the optimizing problem. After discussing the challenges and requirements, we find that the matching game is suitable to model the complex relay model. The advantages of the matching game in self-organizing UAV communications are discussed. Moreover, we provide extensive applications of matching markets, and then propose a novel classification of matching game which focuses on the competitive relationship between players. Specifically, basic preliminary models are presented and some future research directions of matching game in UAV relay models are discussed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MWC.001.1700434 | arXiv: Networking and Internet Architecture |
Keywords | Field | DocType |
Relays,Drones,Task analysis,Games,Communication networks,Optimization | Matching game,Telecommunications network,Computer science,Entry point,Computer network,Drone,Relay,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
26 | 6 | 1536-1284 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dianxiong Liu | 1 | 36 | 7.63 |
| Yuhua Xu | 2 | 857 | 69.31 |
| Jin-Long Wang | 3 | 1402 | 94.86 |
| Yitao Xu | 4 | 60 | 8.50 |
| Alagan Anpalagan | 5 | 1263 | 125.52 |
| Qi-hui Wu | 6 | 1383 | 102.61 |
| Hai Wang | 7 | 8 | 5.26 |
| Liang Shen | 8 | 236 | 12.22 |