UAV Based Wireless Charging of Sensor Networks Without Prior Knowledge

Najeeb W. Najeeb, Carrick Detweiler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Unmanned Aerial Vehicles (UAVs) can charge Wireless Rechargeable Sensor Networks (WRSNs) in remote or hard to access locations. However, the charging efficiency is heavily affected by the distance between the wireless transmitter and receiver. This efficiency impacts the possible power level increase of each charged node. Most charging algorithms require full knowledge of sensor nodes' power levels to identify the nodes to charge. Collecting this power information adds overhead to the network and limits scalability. We propose and implement Charging with Power Transfer Efficiency Compensation (CPTEC), an algorithm that charges a WRSN without the need for a priori knowledge of the nodes' power levels. We show that CPTEC compensates for efficiency drops, due to landing alignments, making it practical for real-world power transfer scenarios. Our results show that CPTEC is able to perform with a median at ≈ 72% of the optimal performance of a full knowledge algorithm that assumes maximum power transfer efficiency, while other work drops to ≈ 22%. Under constant maximum efficiency CPTEC performs ≈ 90% of the optimal full knowledge case.

Original languageEnglish (US)
Title of host publication2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3151-3158
Number of pages8
ISBN (Electronic)9781538680940
DOIs
StatePublished - Dec 27 2018
Event2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain
Duration: Oct 1 2018Oct 5 2018

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Country/TerritorySpain
CityMadrid
Period10/1/1810/5/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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