@inproceedings{12070d725b2f45aaa4034eef715ff980,
title = "SensorFlock: an airborne wireless sensor network of micro-air vehicles",
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.",
keywords = "Applications, Deployments, MAVs, Wireless sensor networks",
author = "Jude Allred and Hasan, {Ahmad Bilal} and Saroch Panichsakul and William Pisano and Peter Gray and Jyh Huang and Richard Han and Dale Lawrence and Kamran Mohseni",
year = "2007",
doi = "10.1145/1322263.1322275",
language = "English",
isbn = "9781595937636",
series = "SenSys'07 - Proceedings of the 5th ACM Conference on Embedded Networked Sensor Systems",
publisher = "Association for Computing Machinery, Inc",
pages = "117--129",
booktitle = "SenSys'07 - Proceedings of the 5th ACM Conference on Embedded Networked Sensor Systems",
note = "5th ACM International Conference on Embedded Networked Sensor Systems, SenSys'07 ; Conference date: 06-11-2007 Through 09-11-2007",
}