3-D placement schemes of multiple UAVs in NFP-based wireless networks

Aymen Omri; Mazen O. Hasna; Muhammad Zeeshan Shakir; Mohammed Shaqfeh

doi:10.1109/ICT-DM.2018.8636368

3-D placement schemes of multiple UAVs in NFP-based wireless networks

Aymen Omri, Mazen O. Hasna, Muhammad Zeeshan Shakir, Mohammed Shaqfeh

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

3 Citations (Scopus)

232 Downloads (Pure)

Abstract

In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement algorithm (DPA) that can be executed by the collaboration of the users and a high altitude controlling NFP (mother UAV). The second strategy uses a proposed centric placement algorithm (CPA) at the mother UAV to define the number and optimal placement of the needed UAVs. For the system model, a Matern Cluster Process (MCP) is used to describe the users’ location in realistic scenarios. Based on that, we detail the proposed algorithms, and we derive the corresponding number expressions of the needed UAVs. Numerical results are used to confirm the derived expression and to evaluate the proposed 3-D placement strategies.

Original language	English
Title of host publication	5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
Place of Publication	Sendai, Japan
Publisher	IEEE
Number of pages	5
Edition	2018
ISBN (Print)	9781538666388
DOIs	https://doi.org/10.1109/ICT-DM.2018.8636368
Publication status	Published - 7 Dec 2018
Event	The 5th International Conference on Information and Communication Technologies for Disaster Management - Tohoku University, Sendai, Japan Duration: 4 Dec 2018 → 7 Dec 2018 Conference number: 5th http://ict-dm2018.net/ (Conference website.) http://ict-dm2018.net/ (Conference website)

Conference

Conference	The 5th International Conference on Information and Communication Technologies for Disaster Management
Abbreviated title	ICT-DM2018
Country/Territory	Japan
City	Sendai
Period	4/12/18 → 7/12/18
Internet address	http://ict-dm2018.net/ (Conference website.) http://ict-dm2018.net/ (Conference website)

Keywords

3-D Placement Strategies
UAV
Wireless Networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICT-DM.2018.8636368

2018 09 04 Omri et al 3-D acceptedFinal published version, 344 KB

3 Citations
2 Article

Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks
Omri, A., Hasna, M. O., Shakir, M. Z. & Shaqfeh, M., 25 Jun 2019, In: IET Communications. 13, 10, p. 1397-1404 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Citation (Scopus)

218 Downloads (Pure)
Optimized link distribution schemes for ultra reliable and low latent communications in multi-layer airborne networks
Wang, D., Al-Ahmed, S. & Shakir, M. Z., 2 Dec 2019, In: IEEE Transactions on Industrial Informatics. 16, 9, p. 5866-5873 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2 Citations (Scopus)

194 Downloads (Pure)

Cite this

@inproceedings{4786acb020aa4185aa82ac997734c4ff,

title = "3-D placement schemes of multiple UAVs in NFP-based wireless networks",

abstract = "In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement algorithm (DPA) that can be executed by the collaboration of the users and a high altitude controlling NFP (mother UAV). The second strategy uses a proposed centric placement algorithm (CPA) at the mother UAV to define the number and optimal placement of the needed UAVs. For the system model, a Matern Cluster Process (MCP) is used to describe the users{\textquoteright} location in realistic scenarios. Based on that, we detail the proposed algorithms, and we derive the corresponding number expressions of the needed UAVs. Numerical results are used to confirm the derived expression and to evaluate the proposed 3-D placement strategies.",

keywords = "3-D Placement Strategies, UAV, Wireless Networks",

author = "Aymen Omri and Hasna, {Mazen O.} and Shakir, {Muhammad Zeeshan} and Mohammed Shaqfeh",

year = "2018",

month = dec,

day = "7",

doi = "10.1109/ICT-DM.2018.8636368",

language = "English",

isbn = "9781538666388",

booktitle = "5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)",

publisher = "IEEE",

address = "United States",

edition = "2018",

note = "The 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM2018 ; Conference date: 04-12-2018 Through 07-12-2018",

url = "http://ict-dm2018.net/, http://ict-dm2018.net/",

}

Omri, A, Hasna, MO, Shakir, MZ & Shaqfeh, M 2018, 3-D placement schemes of multiple UAVs in NFP-based wireless networks. in 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). 2018 edn, IEEE, Sendai, Japan, The 5th International Conference on Information and Communication Technologies for Disaster Management, Sendai, Japan, 4/12/18. https://doi.org/10.1109/ICT-DM.2018.8636368

TY - GEN

T1 - 3-D placement schemes of multiple UAVs in NFP-based wireless networks

AU - Omri, Aymen

AU - Hasna, Mazen O.

AU - Shakir, Muhammad Zeeshan

AU - Shaqfeh, Mohammed

N1 - Conference code: 5th

PY - 2018/12/7

Y1 - 2018/12/7

N2 - In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement algorithm (DPA) that can be executed by the collaboration of the users and a high altitude controlling NFP (mother UAV). The second strategy uses a proposed centric placement algorithm (CPA) at the mother UAV to define the number and optimal placement of the needed UAVs. For the system model, a Matern Cluster Process (MCP) is used to describe the users’ location in realistic scenarios. Based on that, we detail the proposed algorithms, and we derive the corresponding number expressions of the needed UAVs. Numerical results are used to confirm the derived expression and to evaluate the proposed 3-D placement strategies.

AB - In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement algorithm (DPA) that can be executed by the collaboration of the users and a high altitude controlling NFP (mother UAV). The second strategy uses a proposed centric placement algorithm (CPA) at the mother UAV to define the number and optimal placement of the needed UAVs. For the system model, a Matern Cluster Process (MCP) is used to describe the users’ location in realistic scenarios. Based on that, we detail the proposed algorithms, and we derive the corresponding number expressions of the needed UAVs. Numerical results are used to confirm the derived expression and to evaluate the proposed 3-D placement strategies.

KW - 3-D Placement Strategies

KW - UAV

KW - Wireless Networks

U2 - 10.1109/ICT-DM.2018.8636368

DO - 10.1109/ICT-DM.2018.8636368

M3 - Conference contribution

SN - 9781538666388

BT - 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

PB - IEEE

CY - Sendai, Japan

T2 - The 5th International Conference on Information and Communication Technologies for Disaster Management

Y2 - 4 December 2018 through 7 December 2018

ER -

3-D placement schemes of multiple UAVs in NFP-based wireless networks

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Research output

Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks

Optimized link distribution schemes for ultra reliable and low latent communications in multi-layer airborne networks

Cite this