A distributed gateway selection algorithm for UAV networks

Luo, Feng, Jiang, Chunxiao, Du, Jun, Yuan, Jian, Ren, Yong, Yu, Shui and Guizani, Mohsen 2015, A distributed gateway selection algorithm for UAV networks, IEEE transactions on emerging topics in computing, vol. 3, no. 1, pp. 22-33, doi: 10.1109/TETC.2014.2382433.

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Title A distributed gateway selection algorithm for UAV networks
Author(s) Luo, Feng
Jiang, Chunxiao
Du, Jun
Yuan, Jian
Ren, Yong
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Guizani, Mohsen
Journal name IEEE transactions on emerging topics in computing
Volume number 3
Issue number 1
Start page 22
End page 33
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-03
ISSN 2168-6750
Keyword(s) Wireless sensor network
clustering
energy consumption analysis
segment equalization
energy efficiency
Summary In recent years, unmanned aerial vehicle (UAV) has been widely adopted in military and civilian applications. For small UAVs, cooperation based on communication networks can effectively expand their working area. Although the UAV networks are quite similar to the traditional mobile ad hoc networks, the special characteristics of the UAV application scenario have not been considered in the literature. In this paper, we propose a distributed gateway selection algorithm with dynamic network partition by taking into account the application characteristics of UAV networks. In the proposed algorithm, the influence of the asymmetry information phenomenon on UAVs' topology control is weakened by dividing the network into several subareas. During the operation of the network, the partition of the network can be adaptively adjusted to keep the whole network topology stable even though UAVs are moving rapidly. Meanwhile, the number of gateways can be completely controlled according to the system requirements. In particular, we define the stability of UAV networks, build a network partition model, and design a distributed gateway selection algorithm. Simulation results show using our proposed scheme that the faster the nodes move in the network, the more stable topology can be found, which is quite suitable for UAV applications.
Language eng
DOI 10.1109/TETC.2014.2382433
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077826

Document type: Journal Article
Collection: School of Information Technology
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