RCRT: Rate-Controlled Reliable Transport for Wireless Sensor Networks

Project Overview

Emerging high-rate applications (imaging, structural monitoring, acoustic localization) will need to transport large volumes of data concurrently from several sensors. These applications are also loss-intolerant. A key requirement for such applications, then, is a protocol that reliably transport sensor data from many sources to one or more sinks without incurring congestion collapse.

RCRT is "rate-controlled reliable transport" protocol that reliably transport sensor data from many sources to one or more sinks without incurring congestion collapse. RCRT allocates efficent data rates to each source nodes while guaranteeing 100% end-to-end reliable packet delivery.

The main components of RCRT are:

• Loss recovery: using end-to-end explicit NACKs and retransmissions
• Congestion detection: centralized, based on time to recover loss
• Rate adaptation: centralized, based on total aggregate traffic
• Rate allocation: centralized, based on application specific capacity allocation policy

RCRT has been successfully used at our James Reserve deployment.

Related Projects

• The Tenet Architectures for Tiered Sensor Networks
• Bird Nest Box Monitoring at James Reserves
• Interference-Aware Fair Rate Control (IFRC)

People

• Jeongyeup Paek
• Ramesh Govindan

Publications

Jeongyeup Paek, Ramesh Govindan, RCRT: Rate-Controlled Reliable Transport for Wireless Sensor Networks, In: Proceedings of the ACM Conference on Embedded Networked Sensor Systems (SenSys'07), Sydney, Australia, November 2007. [PDF] [Abstract]

Related Publications

John Hicks, Jeongyeup Paek, Sharon Coe, Ramesh Govindan, Deborah Estrin, An Easily Deployable Wireless Imaging System, In: Proceedings of the ImageSense08: Workshop on Applications, Systems, and Algorithms for Image Sensing, Raleigh, NC, November 2008. [PDF] [Abstract]

Posters and Presentations

Jeongyeup Paek, RCRT: Rate-Controlled Reliable Transport Protocol for Wireless Sensor Networks, Sydney, Australia, November 2007. [PPT]

Jeongyeup Paek, Rate-Controlled Reliable Transport for Wireless Sensor Networks, University of California, Los Angeles, October 2007. [PPT]

Results

• Rate r_i allocated to every node in the 40-node experiment with fair rate policy.
  
  
• Rate achieved by IFRC and RCRT in 30-node experiment
  (Note: Some of the MAC layer configurations were different between IFRC and RCRT)
  
  
• Goodput achieved (vs. offered load) by best-effort transport and reliable transport without congestion control. Y-error bar represents maximum variation between nodes. (40-node experiment)
  
  
  
• Goodput achieved (vs. requested rate) by RCRT. (40-node experiment)
  

Software

RCRT code can be found within Tenet software: ENL SVN

External Related Links

http://portal.acm.org/citation.cfm?id=1322263.1322293
http://research.cens.ucla.edu/events/?event_id=151
http://harvard-cs263.blogspot.com/2009/02/flush-and-rcrt-transporting-your-data.html

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Last Modified: 28 Apr 2009