Skip to main content

A Distributed Algorithm for Waking-up in Heterogeneous Sensor Networks

  • Conference paper
  • First Online:
Book cover Information Processing in Sensor Networks (IPSN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2634))

Included in the following conference series:

Abstract

In this paper we present a distributed, application-morphable, algorithm for waking up appropriate sensor nodes in a heterogeneous sensor network. We assume a sensor field consisting of a large number of low power, limited functionality, tripwire nodes and a smaller number of powerful, energy-hungry, tracker nodes. Our problem is that when an event is detected by a set of tripwire nodes a specific number of appropriate tracker nodes needs to be woken up. These tracker nodes will subsequently collaborate to perform the sensing task required by the application. Waking up non-suitable tracker nodes or employing more trackers than necessary for a specific task, can lead to significant waste of network resources (e.g. energy). The application indicates the number of nodes that are needed for a sensing task, as well as an optimization function to be used by the algorithm. Therefore, our algorithm is isolated from most application details and is simple and general enough to accommodate a wide range of sensing applications. We prove that our algorithm converges to a uniform optimal global decision for specific classes of optimization functions. Furthermore, we show that it is fast enough (< 100ms) to be practical for most sensing applications and exhibits good performance in terms of total messages exchanged. Finally, we demonstrate that our algorithm is very robust, managing to retain its correct and efficient behavior for a wide range of scenarios, even under hostile environmental conditions (e.g. link loss probabilities up to 35%).

This work is supported by the DARPA Power Aware Computing and Communication Program under contract no. F33615-C-00-1633.

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

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.

References

  1. J. Kahn, R.H. Katz, and K. Pister, “Emerging Challenges: Mobile Networking for Smart Dust,” in Journal of Communication and Networks, Sept. 2000, pp. 188–196.

    Google Scholar 

  2. F. Zhao, J. Shin, and J. Reich, “Information-Driven Dynamic Sensor Collaboration for Tracking Applications,” in IEEE Signal Processing Magazine, March 2002.

    Google Scholar 

  3. A. Mainwaring, J. Polastre, R. Szewczyk, and D. Culler, “Wireless Sensor Networks for Habitat Monitoring,” in Proceedings of ACM 1 st International Workshop on Wireless Sensor Networks and Applications (WSNA’ 02), Atlanta, September 2002.

    Google Scholar 

  4. J. Nemeroff, L. Garcia, D. Hampel, and S. DiPierro, “Application of Sensor Network Communication,” in Proceedings of IEEE Milcom 2001, Communication for network-centric operation: Creating the information force, Vol. 1, 2001, pp. 336–341.

    Article  Google Scholar 

  5. M. Singh, and V. Prasanna, “A Hierarchical Model for Distributed, Collaborative Computation in Wireless Sensor Networks,” submitted to 5 th Workshop on Advances in Parallel and Distributed Computation Models 2003, Nice, France, April 2003.

    Google Scholar 

  6. J. Rabaey, J. Ammer, T. Karalar, S. Li, B. Otis, M. Sheets, and T. Tuan, “PicoRadios for Wireless Sensor Networks: The Next Challenge in Ultra-Low-Power Design”, Proceedings of the International Solid-State Circuits Conference, San Francisco, CA, February 2002.

    Google Scholar 

  7. C. Intanagonwiway, R. Govindam, and D. Estrin, “Directed Diffusion: a Scalable and Robust Communication Paradigm for Sensor Networks,” in Proceedings of 5th ACM/IEEE Conference on Mobile Computing and Networking (MOBICOM 2000), August 2000.

    Google Scholar 

  8. S. Ratnasamy, D. Estrin, R. Govindan, B. Karp, S. Shenker, L. Yin, and F. Yu, “Datacentric Storage in Sensornets,” in Proceedings of First Workshop on Sensor Networks and Applications (WSNA), Atlanta, September 2002.

    Google Scholar 

  9. IEEE Local and Metropolitan Area Network Standards Committee, Wireless LAN medium access control (MAC) and physical layer (PHY) specifications, IEEE standard 802.11-1999.

    Google Scholar 

  10. K. Nakano, and S. Olariu, “A survey on leader election protocols for radio networks,” in Proceedings of the 6 th Internation Symposium on Parallel Architectures, Algorithms and Networks, 2002 (I-SPAN’ 02). May 2002.

    Google Scholar 

  11. S. Lindsey, C. S. Raghavendra, and K. Sivalingam, “Data Gathering Algorithms in Sensor Networks Using Energy Metrics,” IEEE Transactions on Parallel and Distributed Systems, September 2002.

    Google Scholar 

  12. D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, and S. Wicker, “Complex behavior at scale: An experimental study of low-power wireless sensor networks,” Technical Report CSD-TR 02-0013, UCLA, 2002.

    Google Scholar 

  13. M. Singh, and V. Prasanna, “Optimal Energy-Balanced Algorithm for Selection in a Single Hop Sensor Network,” submitted to 1 st IEEE International Workshop on Sensor Network Protocols and Application (SNPA’ 03), May 2003.

    Google Scholar 

  14. R. S. Bhuvaneswaran, Jacir L. Bordim, J. Cui, Bordim, and K. Nakano, “Fundamental Protocols for Wireless Sensor Networks,” in International Parallel and Distributed Processing Symposium — IPDPS 2001, San Francisco, April 2001

    Google Scholar 

  15. S. Iyengar, and Q. Wu, “Computational Aspects of Distributed Sensor Networks,” in Proceedings of the Fifth International Conference on Information Fusion, July 2002.

    Google Scholar 

  16. PASTA project. http://neptune.east.isi.edu/pipermail/pasta/

  17. Feng Xue and P. R. Kumar, “The number of neighbors needed for connectivity of wireless networks,” Submitted to Wireless Networks, April 2002.

    Google Scholar 

  18. S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. Srivastava, “Coverage Problems in Wireless Ad-hoc Sensor Networks,” in Proc. of IEEE INFOCOM, 2001.

    Google Scholar 

  19. M. Chandy, and J. Misra, “Parallel Program Design: A Foundation,” Addison-Wesley 1988.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Spyropoulos, A., Raghavendra, C.S., Prasanna, V.K. (2003). A Distributed Algorithm for Waking-up in Heterogeneous Sensor Networks. In: Zhao, F., Guibas, L. (eds) Information Processing in Sensor Networks. IPSN 2003. Lecture Notes in Computer Science, vol 2634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36978-3_41

Download citation

  • DOI: https://doi.org/10.1007/3-540-36978-3_41

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-02111-7

  • Online ISBN: 978-3-540-36978-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics