ACM Home Page
Please provide us with feedback. Feedback
RCRT: rate-controlled reliable transport for wireless sensor networks
Full text PdfPdf (548 KB)
Source
Conference On Embedded Networked Sensor Systems archive
Proceedings of the 5th international conference on Embedded networked sensor systems table of contents
Sydney, Australia
SESSION: Communication table of contents
Pages: 305 - 319  
Year of Publication: 2007
ISBN:978-1-59593-763-6
Authors
Jeongyeup Paek  University of Southern California
Ramesh Govindan  University of Southern California
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGOPS: ACM Special Interest Group on Operating Systems
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
NSF : National Science Foundation
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 22,   Downloads (12 Months): 197,   Citation Count: 6
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1322263.1322293
What is a DOI?

ABSTRACT

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. In this paper, we discuss RCRT, a rate-controlled reliable transport protocol suitable for constrained sensor nodes. RCRT uses end-to-end explicit loss recovery, but places all the congestion detection and rate adaptation functionality in the sinks. This has two important advantages: efficiency and flexibility. Because sinks make rate allocation decisions, they are able to achieve greater efficiency since they have a more comprehensive view of network behavior. For the same reason, it is possible to alter the rate allocation decisions (for example, from one that ensures that all nodes get the same rate, to one that ensures that nodes get rates in proportion to their demands), without modifying sensor code at all. We evaluate RCRT extensively on a 40-node wireless sensor network testbed and show that RCRT achieves more than twice the rate achieved by a recently proposed interference-aware distributed rate-control protocol, IFRC [23].


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
TinyOS. http://www.tinyos.net/.
2
3
 
4
F. Bian, S. Rangwala, and R. Govindan. Quasi-static Centralized Rate Allocation for Sensor Networks. In Proc. IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2007.
 
5
J. Caffrey, R. Govindan et al. Networked Sensing for Structural Health Monitoring. In Proceedings of the 4th International Workshop on Structural Control, 2004.
6
 
7
8
 
9
 
10
 
11
12
13
14
15
 
16
 
17
Y. Iyer, S. Gandham, and S. Venkatesan. STCP: a generic transport layer protocol for wireless sensor networks. In Proc. International Conference on Computer Communications and Networks, 2005.
18
19
 
20
S. Kim, R. Fonseca et al. Flush: A Reliable Bulk Transport Protocol for Multihop Wireless Network. Technical Report UCB/EECS-2006-169, EECS, University of California, Berkeley, 2006.
21
22
23
24
 
25
F. Stann and J. Heidemann. RMST: Reliable Data Transport in Sensor Networks. In Proc. 1st IEEE Workshop on Sensor Network Protocols and Applications (SNPA), 2003.
 
26
T. Stathopoulos, L. Girod, J. Heidemann, and D. Estrin. Mote herding for tiered wireless sensor networks. Technical Report 58, CENS, Dec. 7 2005.
 
27
USC/ISI. Transmission control protocol. RFC793, 1981.
28
29
30
31


Collaborative Colleagues:
Jeongyeup Paek: colleagues
Ramesh Govindan: colleagues