Skip to main content

The aim of the Flying Sensors research group is to develop swarm technologies for future, high-performance space-based applications. In a swarm, a large number of autonomous spacecraft cooperate with each other to jointly perform their tasks. Combining them in different formations improves both temporal and spatial sensor coverage and allows the simultaneous combination of different instruments with different perspectives. Swarms are thus valuable for large-scale space and earth observation. Our specific objective is to develop and examine solutions for distributed disaster monitoring, traffic control and atmospheric soundings. Autonomous behaviour for each swarm element and the swarm as a whole is also a basic prerequisite for future deep-space exploration. Ground-controlled setups are mostly inadequate because the radio signals delay is too long to respond to short-term events. Having a large number of systems arranged in a redundant constellation also improves fail safety and makes services more robust (e.g. in the case of solar bursts) compared with a single spacecraft. To limit the costs of such an installation, we intend to develop a small cluster of lightweight (nano-)satellites based on commercial off-the-shelf components and release them as a secondary payload in low earth orbit.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Further Reading

  1. Sandau R (2006) International Study on Cost-Effective Earth Observation Missions. Taylor & Francis, London.

    Google Scholar 

  2. Herfort M, Berlin M, Geile HP, Yoon Z (2007) Beesat Attitude Control System. In: Small Satellites for Earth Observation, IAA-B6-0605, 191-194.

    Google Scholar 

  3. Simunic T, Mihic K, Micheli GD (2005) Optimization of Reliability and Power Consumption in System on a Chip. In: PATMOS 2005, 237-246.

    Google Scholar 

  4. Javidi B, Hong SH, Matoba O (2006) Multidimensional Optical Sensor and Imaging System. In: Applied Optics 45(13), 2986-2994.

    Article  Google Scholar 

  5. Perrin S, Redarce T (1996) CCD Camera Modeling and Simulation. In: Journal of Intelligent & Robotic Systems 17(3), 309-325.

    Article  Google Scholar 

  6. Gleason S, Hodgart S, Sun Y, Gommenginger C, Mackin S, Adjrad M, Unwin M (2005) Detection and Processing of Bistatically Reflected GPS Signals from Low Earth Orbit for the Purpose of Ocean Remote Sensing. In: IEEE Trans. Geosci. Remote Sensing 43(6), 1229-1241.

    Article  Google Scholar 

  7. Sokolovskiy S, Rocken C, Hunt D, Schreiner W, Johnson J, Masters D, Esterhuizen S (2006) GPS Profiling of the Lower Troposphere From Space: Inversion and Demodulation of the Open-Loop Radio Occultation Signals. In: Geophys. Res. Lett. 33, L14816, doi:10.1029/2006GL026112.

    Article  Google Scholar 

  8. M üller R, Z ölder A, Hartmann F (2004) The Historical AIS Data Use for Navigational Aids. In: Proceedings of ISIS 2004.

    Google Scholar 

  9. Hinchey M, Rouff C, Rash J, Truszkowski W (2003) Formal Approaches to Intelligent Swarms. In: Proceedings of the 28th Annual NASA Goddard Software Engineering Workshop (SEW’03).

    Google Scholar 

  10. Reynolds CW (1987) Flocks, Herds, and Schools: A Distributed Behavioral Model. In: Computer Graphics 21(4).

    Google Scholar 

  11. McLurkin J, Smith J, Frankel J, Sotkowitz D, Blau D, Schmidt B (2006) Speaking Swarmish: Human-Robot Interface Design for Large Swarms of Autonomous Mobile Robots. In: Proceedings of AAAI Spring Symposium.

    Google Scholar 

  12. Han CC, Rengaswamy RK, Shea R, Kohler E, Srivastava M. (2005) SOS: A Dynamic Operating System for Sensor Networks. In: ACM Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services.

    Google Scholar 

  13. Szymanski M, W örn H (2007) JaMOS - A MDL2e based Operating System for Swarm Micro Robotics. In: Proceedings of IEEE Swarm Intelligence Symposium 2007, 324-331.

    Google Scholar 

  14. Laneman JN, Tse D, Wornell G (2004) Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior. In: IEEE Trans. Inform. Theory 50(12), 3062-3080.

    Article  MathSciNet  Google Scholar 

  15. Hinchey MG, Rouff CA, Rash JL (2005) Requirements of an Integrated Formal Method For Intelligent Swarms. In: ACM Proceedings of FMICS’05.

    Google Scholar 

  16. Baeten JCM, Bergstra JA (1993) Real Space Process Algebra. In: Formal Aspects of Computing 5, 481-529.

    Article  MATH  Google Scholar 

  17. Weston NR, Balchanos MG, Koepp MR and Mavris DN (2006) Strategies for Integrating Models of Interdependent Subsystems of Complex System-of-System Products. In: Proceedings of the 38th Southeastern Symposium of System Theory.

    Google Scholar 

  18. Br ückner I (2007) Slicing Concurrent Real-Time System Specifications for Verification. In: Proceedings of IFM 2007 - Sixth International Conference on Integrated Formal Methods, Lecture Notes in Computer Science. Springer.

    Google Scholar 

  19. Hoenicke J, Maier P (2005) Model-Checking of Specifications Integrating Processes, Data and Time. In: Proceedings of FM 2005 LNCS 3582, 465-480. Springer.

    Google Scholar 

  20. Ayeb M, Theuerkauf H, Winsel CWT (2006). Robust Identification of Nonlinear Dynamic Systems Using Design of Experiment. In: Proceedings of IEEE International Symposium Computer-Aided Control Systems Design, 2321-2326.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science + Business Media B.V

About this paper

Cite this paper

Jähnichen, S., Brieβ, K., Burmeister, R. (2008). Flying Sensors – Swarms in Space. In: Mahr, B., Huanye, S. (eds) Autonomous Systems – Self-Organization, Management, and Control. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8889-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-8889-6_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8888-9

  • Online ISBN: 978-1-4020-8889-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics