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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
This is not the case in wireline networks and is due to the nature of wireless communications.
- 2.
Note that SWIA is a special type of block acknowledgment where the window size is 1.
References
Hongwei Zhang, Anish Arora, Young-Ri Choi, Mohamed Gouda (2007). Reliable Bursty Convergecast in Wireless Sensor Network. Computer Communications (Elsevier) 30(13):2560–
Chieh-Yih Wan, Shane B. Eisenman, Andrew Campbell (2003). CODA: Congestion Detection and Avoidance in Sensor Networks. ACM SenSys, Los Angeles, CA
Cheng Tien Ee and Ruzena Bajcsy (2004). Congestion Control and Fairness for Many-to-One Routing in Sensor Networks. ACM SenSys, Baltimore, MD
Bret Hull, Kyle Jamieson, Hari Balakrishnan (2004). Mitigating Congestion in Wireless Sensor Networks. ACM SenSys, Baltimore, MD
Yogesh Sankarasubramanjam, Ozgur B. Akan, Ian F. Akyildiz (2003). ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks. ACM MobiHoc, Annapolis, MD
Fred Stann and John Heidemann (2003). RMST: Reliable Data Transport in Sensor Networks. International Workshop on Sensor Net Protocols and Applications
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–
TinyOS. http://www.tinyos.net/
Joseph Polastre, Jason Hill, David Culler (2004). Versatile Low Power Media Access for Wireless Sensor Networks. ACM SenSys, Baltimore, MD
Wei Ye, John Heidemann, Deborah. Estrin (2002). An Energy-Efficient MAC Protocol for Wireless Sensor Networks. IEEE INFOCOM, New york
Miklos Maroti (2004). The Directed Flood Routing Framework. Technical report, Vanderbilt University, Nashville, TN
Geoffrey Brown, Mohamed Gouda, Raymond Miller (1989). Block Acknowledgment: Redesigning the Window Protocol. ACM SIGCOMM, Austin, TX
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
Jonathan Hui, David Culler (2004). The Dynamic Behavior of a Data Dissemination Protocol for Network Programming at Scale. ACM SenSys, Baltimore, MD
Sandeep Kulkarni, Limin Wang (2005). MNP: Multihop Network Reprogramming Service for Sensor Networks, IEEE ICDCS, Columbus, OH
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–
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)