A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks

Daisuke Takaishi; Hiroki Nishiyama; Nei Kato; Ryu Miura

doi:10.1007/978-3-319-47081-8_9

A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks

Daisuke Takaishi, Hiroki Nishiyama, Nei Kato, Ryu Miura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Recently, the Unmanned Aircraft Systems (UASs) have attracted great attention to provide various services. However, the Unmanned Aeria Vehicle (UAV) network which is constructed with multiple UAVs is prone to frequent disconnection. This is why the UAVto- UAV links are constructed with two UAVs with high mobility. In such a disconnected network, ground-nodes cannot communicate with other ground-nodes with End-to-End link and the communication failure. Because the UAVs fly along with a commanded trajectory, the trajectories are the most important to decide UAV network performance. In this paper, we propose a effective UAVs’ trajectory decision scheme.

Original language	English
Title of host publication	Personal Satellite Services
Subtitle of host publication	Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers
Editors	Igor Bisio
Publisher	Springer Verlag
Pages	94-105
Number of pages	12
ISBN (Print)	9783319470801
DOIs	https://doi.org/10.1007/978-3-319-47081-8_9
Publication status	Published - 2016
Event	6th International Conference on Personal Satellite Services, PSATS 2014 - Genova, Italy Duration: 2014 Jul 28 → 2014 Jul 29

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	148
ISSN (Print)	1867-8211

Conference

Conference	6th International Conference on Personal Satellite Services, PSATS 2014
Country/Territory	Italy
City	Genova
Period	14/7/28 → 14/7/29

Keywords

End-to-End link connection
Unmanned Aerial Vehicle (UAV)
Unmanned Aircraft System (UAS)

Access to Document

10.1007/978-3-319-47081-8_9

Cite this

Takaishi, D., Nishiyama, H., Kato, N., & Miura, R. (2016). A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks. In I. Bisio (Ed.), Personal Satellite Services: Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers (pp. 94-105). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 148). Springer Verlag. https://doi.org/10.1007/978-3-319-47081-8_9

Takaishi, Daisuke ; Nishiyama, Hiroki ; Kato, Nei et al. / A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks. Personal Satellite Services: Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers. editor / Igor Bisio. Springer Verlag, 2016. pp. 94-105 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{94b3a635ece84f83ba7caf21dfd7a3e0,

title = "A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks",

abstract = "Recently, the Unmanned Aircraft Systems (UASs) have attracted great attention to provide various services. However, the Unmanned Aeria Vehicle (UAV) network which is constructed with multiple UAVs is prone to frequent disconnection. This is why the UAVto- UAV links are constructed with two UAVs with high mobility. In such a disconnected network, ground-nodes cannot communicate with other ground-nodes with End-to-End link and the communication failure. Because the UAVs fly along with a commanded trajectory, the trajectories are the most important to decide UAV network performance. In this paper, we propose a effective UAVs{\textquoteright} trajectory decision scheme.",

keywords = "End-to-End link connection, Unmanned Aerial Vehicle (UAV), Unmanned Aircraft System (UAS)",

author = "Daisuke Takaishi and Hiroki Nishiyama and Nei Kato and Ryu Miura",

note = "Funding Information: This work was conducted under the national project, Research and Development on Cooperative Technologies and Frequency Sharing Between Unmanned Aircraft Systems (UAS) Based Wireless Relay Systems and Terrestrial Networks, supported by the Ministry of Internal Affairs and Communications (MIC), Japan. Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.; 6th International Conference on Personal Satellite Services, PSATS 2014 ; Conference date: 28-07-2014 Through 29-07-2014",

year = "2016",

doi = "10.1007/978-3-319-47081-8_9",

language = "English",

isbn = "9783319470801",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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}

Takaishi, D, Nishiyama, H , Kato, N & Miura, R 2016, A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks. in I Bisio (ed.), Personal Satellite Services: Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 148, Springer Verlag, pp. 94-105, 6th International Conference on Personal Satellite Services, PSATS 2014, Genova, Italy, 14/7/28. https://doi.org/10.1007/978-3-319-47081-8_9

A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks. / Takaishi, Daisuke; Nishiyama, Hiroki ; Kato, Nei et al.
Personal Satellite Services: Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers. ed. / Igor Bisio. Springer Verlag, 2016. p. 94-105 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 148).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks

AU - Takaishi, Daisuke

AU - Nishiyama, Hiroki

AU - Kato, Nei

AU - Miura, Ryu

N1 - Funding Information: This work was conducted under the national project, Research and Development on Cooperative Technologies and Frequency Sharing Between Unmanned Aircraft Systems (UAS) Based Wireless Relay Systems and Terrestrial Networks, supported by the Ministry of Internal Affairs and Communications (MIC), Japan. Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

PY - 2016

Y1 - 2016

N2 - Recently, the Unmanned Aircraft Systems (UASs) have attracted great attention to provide various services. However, the Unmanned Aeria Vehicle (UAV) network which is constructed with multiple UAVs is prone to frequent disconnection. This is why the UAVto- UAV links are constructed with two UAVs with high mobility. In such a disconnected network, ground-nodes cannot communicate with other ground-nodes with End-to-End link and the communication failure. Because the UAVs fly along with a commanded trajectory, the trajectories are the most important to decide UAV network performance. In this paper, we propose a effective UAVs’ trajectory decision scheme.

AB - Recently, the Unmanned Aircraft Systems (UASs) have attracted great attention to provide various services. However, the Unmanned Aeria Vehicle (UAV) network which is constructed with multiple UAVs is prone to frequent disconnection. This is why the UAVto- UAV links are constructed with two UAVs with high mobility. In such a disconnected network, ground-nodes cannot communicate with other ground-nodes with End-to-End link and the communication failure. Because the UAVs fly along with a commanded trajectory, the trajectories are the most important to decide UAV network performance. In this paper, we propose a effective UAVs’ trajectory decision scheme.

KW - End-to-End link connection

KW - Unmanned Aerial Vehicle (UAV)

KW - Unmanned Aircraft System (UAS)

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DO - 10.1007/978-3-319-47081-8_9

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T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 94

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BT - Personal Satellite Services

A2 - Bisio, Igor

PB - Springer Verlag

T2 - 6th International Conference on Personal Satellite Services, PSATS 2014

Y2 - 28 July 2014 through 29 July 2014

ER -

Takaishi D, Nishiyama H , Kato N, Miura R. A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks. In Bisio I, editor, Personal Satellite Services: Next-Generation Satellite Networking and Communication Systems - 6th International Conference, PSATS 2014, Revised Selected Papers. Springer Verlag. 2016. p. 94-105. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-47081-8_9

A dynamic trajectory control algorithm for improving the probability of end-to-end link connection in unmanned aerial vehicle networks

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Keywords

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