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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 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.
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Citations
Cited by
BikeNet: A mobile sensing system for cyclist experience mapping
Eisenman, S. B., Miluzzo, E., Lane, N. D., Peterson, R. A., Ahn, G.-S., & Campbell, A. T. (2009) · ACM Transactions on Sensor Networks · doi:10.1145/1653760.1653766 · Cited by 349
Air-Ground Integrated Mobile Edge Networks: A Survey
Zhang, W., Li, L., Zhang, N., Han, T., & Wang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3008168 · Cited by 75
Metadata
- Authors
- Allred, J., Hasan, A. B., Panichsakul, S., Pisano, W., Gray, P., Huang, J., Han, R., Lawrence, D., & Mohseni, K.
- Venue
- Proceedings of the 5th international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2007-11-06
- Pages
- 117-129
- OpenAlex
- W2133444666
- Cited by
- 177
- References
- 0
- FWCI
- 23.32
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: SensorFlock: an airborne wireless sensor network of micro-air vehicles. https://app.cochat.ai/papers/10.1145/1322263.1322275
- The paper
- Allred, J., Hasan, A. B., Panichsakul, S., Pisano, W., Gray, P., Huang, J., Han, R., Lawrence, D., & Mohseni, K. (2007). SensorFlock: an airborne wireless sensor network of micro-air vehicles. Proceedings of the 5th international conference on Embedded networked sensor systems. https://doi.org/10.1145/1322263.1322275
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.