TY - GEN
T1 - Design of Ad Hoc Wireless Mesh Networks Formed by Unmanned Aerial Vehicles with Advanced Mechanical Automation
AU - Shinkuma, Ryoichi
AU - Mandayam, Narayan B.
N1 - Funding Information:
This work was supported by JST PRESTO Grant no. JPMJPR1854 and JSPS KAKENHI Grant no. JP17H01732. N. Mandayam is supported in part by the U.S. NSF under grant 1541069. The authors would like to thank Mr. Yuki Goto, who graduated from Kyoto University in March 2017, and Ms. Miwa Tobita, who is currently a student of Kyoto University, for their suggestions.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Ad hoc wireless mesh networks formed by unmanned aerial vehicles (UAVs) equipped with wireless transceivers (access points (APs)) are increasingly being touted as being able to provide a flexible "on-the-fly"communications infrastructure that can collect and transmit sensor data from sensors in remote, wilderness, or disaster-hit areas. Recent advances in the mechanical automation of UAVs have resulted in separable APs and replaceable batteries that can be carried by UAVs and placed at arbitrary locations in the field. These advanced mechanized UAV mesh networks pose interesting questions in terms of the design of the network model and the optimal UAV scheduling algorithms. This paper proposes the design of wireless mesh networks that depend on the mechanized automation (AP separation and battery replacement) capabilities of UAVs, which includes mathematical formulations and heuristic UAV scheduling algorithms for each network model. Through performance evaluation, the proposed design is benchmarked against the theoretical lower bound.
AB - Ad hoc wireless mesh networks formed by unmanned aerial vehicles (UAVs) equipped with wireless transceivers (access points (APs)) are increasingly being touted as being able to provide a flexible "on-the-fly"communications infrastructure that can collect and transmit sensor data from sensors in remote, wilderness, or disaster-hit areas. Recent advances in the mechanical automation of UAVs have resulted in separable APs and replaceable batteries that can be carried by UAVs and placed at arbitrary locations in the field. These advanced mechanized UAV mesh networks pose interesting questions in terms of the design of the network model and the optimal UAV scheduling algorithms. This paper proposes the design of wireless mesh networks that depend on the mechanized automation (AP separation and battery replacement) capabilities of UAVs, which includes mathematical formulations and heuristic UAV scheduling algorithms for each network model. Through performance evaluation, the proposed design is benchmarked against the theoretical lower bound.
KW - ad hoc network
KW - battery replacement
KW - load manipulation
KW - unmanned aerial vehicle
KW - wireless mesh network
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U2 - 10.1109/DCOSS49796.2020.00053
DO - 10.1109/DCOSS49796.2020.00053
M3 - Conference contribution
AN - SCOPUS:85091773159
T3 - Proceedings - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
SP - 288
EP - 295
BT - Proceedings - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2020
Y2 - 15 June 2020 through 17 June 2020
ER -