SensorFlock: an airborne wireless sensor network of micro-air vehicles

Jude Allred*, Ahmad Bilal Hasan, Saroch Panichsakul, William Pisano, Peter Gray, Jyh Huang, Richard Han, Dale Lawrence, Kamran Mohseni

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

123 Citations (Scopus)

Abstract

An airborne wireless sensor network (WSN) composed of bird-sized micro aerial vehicles (MAVs) enables low cost high granularity atmospheric sensing of toxic plume behavior and storm dynamics, and provides a unique threedimensional vantage for monitoring wildlife and ecological systems. This paper describes a complete implementation of our SensorFlock airborne WSN, spanning the development of our MAV airplane, its avionics, semi-autonomous flight control software, launch system, flock control algorithm, and wireless communication networking between MAVs. We present experimental results from flight tests of flocks of MAVs, and a characterization of wireless RF behavior in air-to-air communication as well as air-to-ground communication.

Original languageEnglish
Title of host publicationSenSys'07 - Proceedings of the 5th ACM Conference on Embedded Networked Sensor Systems
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery, Inc
Pages117-129
Number of pages13
ISBN (Print)9781595937636
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event5th ACM International Conference on Embedded Networked Sensor Systems, SenSys'07 - Sydney, NSW, Australia
Duration: 6 Nov 20079 Nov 2007

Publication series

NameSenSys'07 - Proceedings of the 5th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference5th ACM International Conference on Embedded Networked Sensor Systems, SenSys'07
CountryAustralia
CitySydney, NSW
Period6/11/079/11/07

Keywords

  • Applications
  • Deployments
  • MAVs
  • Wireless sensor networks

Fingerprint Dive into the research topics of 'SensorFlock: an airborne wireless sensor network of micro-air vehicles'. Together they form a unique fingerprint.

Cite this