Skip to main content

Data Transport Control in Wireless Sensor Networks

  • Chapter
  • First Online:
Guide to Wireless Sensor Networks

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Dynamics of wireless communication, resource constraints, and application diversity pose significant challenges to data transport control in wireless sensor networks. In this chapter, we examine the issue of data transport control in the context of two typical communication patterns in wireless sensor networks: convergecast and broadcast. We study the similarity and differences of data transport control in convergecast and broadcast; we discuss existing convergecast and broadcast protocols, and we present open issues for data transport control in wireless sensor networks.

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
Hardcover Book
USD 54.99
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

Notes

  1. 1.

    This is not the case in wireline networks and is due to the nature of wireless communications.

  2. 2.

    Note that SWIA is a special type of block acknowledgment where the window size is 1.

References

  1. Hongwei Zhang, Anish Arora, Young-Ri Choi, Mohamed Gouda (2007). Reliable Bursty Convergecast in Wireless Sensor Network. Computer Communications (Elsevier) 30(13):2560–

    Google Scholar 

  2. Chieh-Yih Wan, Shane B. Eisenman, Andrew Campbell (2003). CODA: Congestion Detection and Avoidance in Sensor Networks. ACM SenSys, Los Angeles, CA

    Google Scholar 

  3. Cheng Tien Ee and Ruzena Bajcsy (2004). Congestion Control and Fairness for Many-to-One Routing in Sensor Networks. ACM SenSys, Baltimore, MD

    Google Scholar 

  4. Bret Hull, Kyle Jamieson, Hari Balakrishnan (2004). Mitigating Congestion in Wireless Sensor Networks. ACM SenSys, Baltimore, MD

    Google Scholar 

  5. Yogesh Sankarasubramanjam, Ozgur B. Akan, Ian F. Akyildiz (2003). ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks. ACM MobiHoc, Annapolis, MD

    Google Scholar 

  6. Fred Stann and John Heidemann (2003). RMST: Reliable Data Transport in Sensor Networks. International Workshop on Sensor Net Protocols and Applications

    Google Scholar 

  7. Anish Arora, Prabal Dutta et al. (2004). A Line in the Sand: A Wireless Sensor Network for Target Detection, Classification, and Tracking. Computer Networks (Elsevier) 46(5):605–

    Google Scholar 

  8. TinyOS. http://www.tinyos.net/

  9. Joseph Polastre, Jason Hill, David Culler (2004). Versatile Low Power Media Access for Wireless Sensor Networks. ACM SenSys, Baltimore, MD

    Google Scholar 

  10. Wei Ye, John Heidemann, Deborah. Estrin (2002). An Energy-Efficient MAC Protocol for Wireless Sensor Networks. IEEE INFOCOM, New york

    Google Scholar 

  11. Miklos Maroti (2004). The Directed Flood Routing Framework. Technical report, Vanderbilt University, Nashville, TN

    Google Scholar 

  12. Geoffrey Brown, Mohamed Gouda, Raymond Miller (1989). Block Acknowledgment: Redesigning the Window Protocol. ACM SIGCOMM, Austin, TX

    Google Scholar 

  13. Alan Mainwaring, David Culler, Joseph Polastre, Robert Szewczyk, John Anderson (2002). Wireless Sensor Networks for Habitat Monitoring. First ACM International Workshop on Wireless Sensor Networks and Applications, Atlanta, GA

    Google Scholar 

  14. Jonathan Hui, David Culler (2004). The Dynamic Behavior of a Data Dissemination Protocol for Network Programming at Scale. ACM SenSys, Baltimore, MD

    Google Scholar 

  15. Sandeep Kulkarni, Limin Wang (2005). MNP: Multihop Network Reprogramming Service for Sensor Networks, IEEE ICDCS, Columbus, OH

    Google Scholar 

  16. Vinayak Naik, Anish Arora, Prasun Sinha, Hongwei Zhang (2007). Sprinkler: A Reliable and Energy Efficient Data Dissemination Service for Extreme Scale Wireless Networks of Embedded Devices, IEEE Transactions on Mobile Computing, 6(7), 777–

    Google Scholar 

  17. Sandeep Kulkarni, Mahesh Arumugam (2004). Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks. Technical Report MSU-CSE-04-46, Michigan State University, East Lanting, MI

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongwei Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag London Limited

About this chapter

Cite this chapter

Zhang, H., Naik, V. (2009). Data Transport Control in Wireless Sensor Networks. In: Misra, S., Woungang, I., Misra, S. (eds) Guide to Wireless Sensor Networks. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-218-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-84882-218-4_9

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-217-7

  • Online ISBN: 978-1-84882-218-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics