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 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
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 Matérn 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 Matérn 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
UR - http://www.scopus.com/inward/record.url?scp=85062862780&partnerID=8YFLogxK
U2 - 10.1109/ICT-DM.2018.8636368
DO - 10.1109/ICT-DM.2018.8636368
M3 - Conference contribution
AN - SCOPUS:85062862780
T3 - 2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
BT - 2018 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2018
Y2 - 4 December 2018 through 7 December 2018
ER -