Unmanned aerial vehicle-based wireless charging of sensor networks

Carrick Detweiler, Michael Eiskamp, Brent Griffin, Jennifer Johnson, Jinfu Leng, Andrew Mittleider, Elizabeth Basha

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

Abstract

Sensor networks deployed in remote and hard to access locations often require regular maintenance to replace or charge batteries as solar panels are sometimes impractical. In this chapter, we develop an Unmanned Aerial Vehicle (UAV) that can fly to remote locations to charge sensors using magnetic resonant wireless power transfer.We discuss the challenges of usingUAVs to charge sensorswirelessly. We then present the design of a lightweight system that can be carried by a UAV as well as design a localization sensor and algorithm to allow the UAV to precisely align itself with the receiver by sensing the induced field.We also develop a number of algorithms to address the question of which sensors should be charged given a network of sensors. Finally, we experimentally verify algorithms that leverage the sensor network’s ability to adapt internal communication and energy consumption patterns to optimize UAV-based wireless charging.

Original languageEnglish (US)
Title of host publicationWireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks
PublisherSpringer International Publishing
Pages433-464
Number of pages32
ISBN (Electronic)9783319468105
ISBN (Print)9783319468099
DOIs
StatePublished - Jan 1 2016

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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