Name
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 three-dimensional 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1322263.1322275 | SenSys |
Keywords | Field | DocType |
flock control algorithm,flight test,airborne wireless,micro-air vehicle,wireless rf behavior,air-to-ground communication,wireless communication network,air-to-air communication,semi-autonomous flight control software,sensorflock airborne wsn,sensor network,toxic plume behavior,wireless sensor network,wireless communication,applications,design,performance,three dimensional,wireless sensor networks | Control software,Key distribution in wireless sensor networks,Control algorithm,Wireless,Computer science,Avionics,Airplane,Real-time computing,Wireless sensor network | Conference |
Citations | PageRank | References |
86 | 6.04 | 15 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jude Allred | 1 | 86 | 6.04 |
| Ahmad Bilal Hasan | 2 | 86 | 6.04 |
| Saroch Panichsakul | 3 | 86 | 6.04 |
| William Pisano | 4 | 86 | 6.04 |
| Peter Gray | 5 | 94 | 7.55 |
| Jyh Huang | 6 | 86 | 6.04 |
| Richard Han | 7 | 2771 | 200.83 |
| Dale Lawrence | 8 | 95 | 8.62 |
| Kamran Mohseni | 9 | 152 | 19.96 |