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Energy-aware UAV-driven Data Collection with Priority in Robotic Wireless Sensor Network
Date
2023-01-01
Author
Gül, Ömer Melih
Erkmen, Aydan Müşerref
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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The work tackles energy-aware data gathering problems at clustered robotic networks. A cluster head (CH) robot assigns task with other robots which gathers monitoring data from sensors. After executing their assigned tasks, they send resultant data to it in each cluster. Then, an unmanned aerial vehicle (UAV) with limited battery capacity collects data from CH robots by visiting a portion of them. Under limit of battery capacity of UAV, we aim to collecting data from CH robots with a minimum cost by visiting a subgroup of CH robots among them. UAV make a decision on the CH robots to visit by also caring a set of CH robot in addition to its battery capacity and locations of all CH robots. If exists, a nonvisited CH robot sends data to other CH robots for forwarding data. Data forwarding strategy of each nonvisited CH robot is also considered for this cost optimization. Differently from traditional approaches, we consider fixed battery capacity for UAV. The proposed algorithm is compared for various number of CH robots and priority sets by considering energy consumptions of CH robots, which has an influence on lifetime of the network.
Subject Keywords
Autonomous aerial vehicles
,
Batteries
,
cluster-based routing
,
Energy consumption
,
Robot kinematics
,
Robot sensing systems
,
robotic network
,
Sensors
,
UAV
,
wireless sensor network
,
Wireless sensor networks
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163527534&origin=inward
https://hdl.handle.net/11511/104655
Journal
IEEE Sensors Journal
DOI
https://doi.org/10.1109/jsen.2023.3286877
Collections
Department of Electrical and Electronics Engineering, Article
Citation Formats
IEEE
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BibTeX
Ö. M. Gül and A. M. Erkmen, “Energy-aware UAV-driven Data Collection with Priority in Robotic Wireless Sensor Network,”
IEEE Sensors Journal
, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163527534&origin=inward.