Skip to main content

Abstract

In this chapter, EMMON [1, 2], a system architecture for large-scale, dense, real-time embedded monitoring is outlined. EMMON provides a hierarchical communication architecture together with integrated middleware (MW) and command and control (C&C) software. It has been designed to use standard commercially-available technologies, while maintaining as much flexibility as possible to meet specific applications requirements. The EMMON architecture has been validated through extensive simulation and experimental evaluation, including a 400+ node test-bed in a real end-user environment, which is, to the best of our knowledge, the largest single-site WSN deployment in Europe to date.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Notes

  1. 1.

    End-to-end delay, throughput, security, reliability and lifetime.

  2. 2.

    Details on the Portable Device as an optional element at Tier-2.b are out of scope of this work.

  3. 3.

    The geo-routing has been already described in Sect. 6.2.2 as an amendment of the ZigBee protocol stack.

  4. 4.

    In the first instantiation, positions are statically defined, and the area associated with a reading is the bounding box around the sensors it comes from.

  5. 5.

    Maximum number of hops between a SN and the GW.

References

  1. Emmon—embedded monitoring (2012), www.artemis-emmon.eu

  2. S. Tennina, M. Bouroche, P. Braga, R. Gomes, M. Alves, F. Mirza, V. Ciriello, G. Carrozza, P. Oliveira, V. Cahill, Emmon: a wsn system architecture for large scale and dense real-time embedded monitoring, in 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing (EUC), Oct 2011, pp. 150–157

    Google Scholar 

  3. S. Tennina, M. Alves, P.G. Sousa, M. Santos, P. Braga, M. Bouroche, G. Carrozza, R. Monica, F. Pacheco, R. Gomes, A. Garg, R. Severino, Evaluation report: evaluation of possible solutions, concepts for new communication methods. Deliverable D4.2, EMMON Project, ARTEMIS Joint Undertaking Call for proposals ARTEMIS-2008-1, Grant agreement no. 100036, 2010

    Google Scholar 

  4. R. Monica, P. Braga, Operational requirements consolidated from end-users input and opinions. Deliverable D3.1, EMMON Project, ARTEMIS Joint Undertaking Call for proposals ARTEMIS-2008-1, Grant agreement no. 100036, Feb 2010

    Google Scholar 

  5. A. Koubâa, A. Cunha, M. Alves, A time division beacon scheduling mechanism for IEEE 802.15.4/zigbee cluster-tree wireless sensor networks, in Proceedings of the 19th Euromicro Conference on Real-Time Systems (ECRTS), July 2007, pp. 125–135

    Google Scholar 

  6. A.A. Abbasi, M. Younis, A survey on clustering algorithms for wireless sensor networks. Comput. Commun. Spec. Issue Netw. Cover. Routing Schemes Wirel. Sens. Netw. 30, 2626–2841 (2007)

    Google Scholar 

  7. T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou, Q. Cao, P. Vicaire, J.A. Stankovic, T.F. Abdelzaher, J. Hui, B. Krogh, Vigilnet: an integrated sensor network system for energy-efficient surveillance. ACM Trans. Sens. Netw. 2(1), 1–38 (2006)

    Article  Google Scholar 

  8. S. Tennina, M. Di Renzo, F. Graziosi, F. Santucci (2011) Distributed Localization Algorithms for Wireless Sensor Networks: From Design Methodology to Experimental Validation, Wireless Sensor Networks, (Ed.), ISBN:978-953-307-325–5, InTech, DOI:10.5772/38731. Available from: http://www.intechopen.com/books/wireless-sensor-networks/distributed-localization-algorithms-for-wireless-sensor-networks-from-design-methodology-to-experime

  9. C.-J.M. Liang, J. Liu, L. Luo, A. Terzis, F. Zhao, Racnet: a high-fidelity data center sensing network, in Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys ’09, pp. 15–28, ACM, New York, 2009

    Google Scholar 

  10. S. Tennina, R. Gomes, M. Alves, V. Ciriello, G. Carrozza, The dark side of demmon: what is behind the scene in engineering large-scale wireless sensor networks, in Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM ’11, pp. 41–50, ACM, New York, 2011

    Google Scholar 

  11. C.-J.M. Liang, N.B. Priyantha, J. Liu, A. Terzis, Surviving wi-fi interference in low power zigbee networks, in Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys ’10, pp. 309–322, ACM, New York, 2010

    Google Scholar 

  12. Ekahau heatmapper—the free wi-fi coverage mapping site survey tool (2011), www.ekahau.com

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stefano Tennina .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Author(s)

About this chapter

Cite this chapter

Tennina, S. et al. (2013). Environmental Monitoring. In: IEEE 802.15.4 and ZigBee as Enabling Technologies for Low-Power Wireless Systems with Quality-of-Service Constraints. SpringerBriefs in Electrical and Computer Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37368-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37368-8_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37367-1

  • Online ISBN: 978-3-642-37368-8

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics