Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9015
Title: Multiple Access Communications for Age Minimization in UAV Aided Data Collection
Authors: Ogutcu O.
Yuksel M.
Keywords: Age of information
multiple access channel
sensor network
unmanned aerial vehicle
Antennas
Data acquisition
Unmanned aerial vehicles (UAV)
Vehicle to vehicle communications
Aerial vehicle
Age of information
Communication time
Data collection
Line-segments
Multiple access channels
Optimal points
Pathlengths
Sensors network
Unmanned aerial vehicle
Sensor networks
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Data collection with unmanned aerial vehicles (UAVs) is a novel technology with many practical applications. In this paper, UAV aided data collection in sensor networks for time-critical applications is considered. Maximum age of information (AoI) is used as the performance metric, where both communication time and flight time contribute to AoI. Given that sensors form groups of two, the UAV aims to visit each line segment formed by the two sensors in each group once and to return to the data center. To minimize the maximum AoI, two trajectory design algorithms are proposed. In both algorithms, the UAV communicates with the sensors in each group through a multiple access channel. In the first algorithm, the UAV hovers on the communication time optimal point on the line segment. In the second algorithm, it hovers on the path-length optimal point. The algorithms are compared with time sharing schemes, and also with the case when all sensors are visited individually. The results reveal that multiple access transmission is optimal, when sensors are not too far apart and packet lengths are long, whereas path-length optimal trajectory is better when packet lengths are short. © 2022 IEEE.
Description: Huawei;Nokia;pix moving;Samsung;Technology Innovation Institute (TII)
95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring -- 19 June 2022 through 22 June 2022 -- -- 182307
URI: https://doi.org/10.1109/VTC2022-Spring54318.2022.9860437
https://hdl.handle.net/20.500.11851/9015
ISBN: 9.78167E+12
ISSN: 1550-2252
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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