Hybrid Localization for UAV-based Charging of Wireless Sensor Networks
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Localization - assigning sufficiently accurate positions to nodes - in Wireless Sensor Networks (WSNs) has attracted research among various strategies, some using Received Signal Strength Indication (RSSI) at nodes. Nodes with known position, called anchors, may be fixed or mobile. Position may be computed by global optimization, or locally between anchors and nodes. For Wireless Rechargeable Sensor Networks (WRSNs), a charger may act as a mobile anchor enabling high-resolution localization for efficient RF charging. This study describes a hybrid scheme for localization and charging of WRSNs using an Unmanned Aerial Vehicle (UAV) carrying a node and an RF charger. It works reliably under log-normal fading of RSSI due to shadowing. RSSI localization brings the UAV close enough to the node to elicit a response from the RF charger. Time of Charge is then used to position the UAV accurately above the node, to allow for charging with maximum efficiency.
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Copyright © 2020 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2020
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durham-hybridlocalizationforuavbasedchargingofwireless.pdf | 2023-05-05 | Public | Download |