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Achieving stable network performance for wireless sensor networks
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Conference On Embedded Networked Sensor Systems archive
Proceedings of the 6th ACM conference on Embedded network sensor systems table of contents
Raleigh, NC, USA
POSTER SESSION: Posters table of contents
Pages: 453-454  
Year of Publication: 2008
ISBN:978-1-59593-990-6
Authors
Shan Lin  University of Virginia, Charlottesville, VA, USA
Gang Zhou  College of William & Mary, Williamsburg, VA, USA
Yafeng Wu  University of Virginia, Charlottesville, VA, USA
Kamin Whitehouse  University of Virginia, Charlottesville, VA, USA
John A. Stankovic  University of Virginia, Charlottesville, VA, USA
Tian He  University of Minnesota, Minneapolis, MN, USA
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
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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ABSTRACT

Extensive empirical results reveal that interference can cause link qualities to change quickly and dramatically. For such highly dynamic links, the short term link quality estimations widely used in existing protocols require frequent measurements and may not be accurate. As a result, when these links are selected, end-to-end communication quality varies significantly. Also, route changes occur frequently, introducing traffic oscillation and excessive overhead in network protocols. To achieve good and stable network performance, it is not enough to use short term link estimation. It is essential to characterize a link's capacity to perform well at a desired level in the presence of interference and environmental changes. Therefore, we propose a performance metric called competence. We have incorporated the competence metric into routing algorithm designs. We have also designed and implemented a maintenance framework that stabilizes performance at both link and network layers. This framework allocates the desired performance level among multiple links along an active route by using an end-to-end feedback loop, and enforces the performance level of each link through adaptive transmission power control and retransmission control. In real system evaluations with 48 TMotes, our solution outperforms previous protocols significantly and achieves end-to-end stable performance for more than 99% of the time over 24 hours.


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
IEEE 802.15.4, Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LRWPANs), 1999.
2
 
3
R. Fonseca, O. Gnawali, K. Jamieson, and P. Levis, "Four bit wireless link estimation", in Sixth Workshop on Hot Topics in Networks (HotNets VI), 2007.

Collaborative Colleagues:
Shan Lin: colleagues
Gang Zhou: colleagues
Yafeng Wu: colleagues
Kamin Whitehouse: colleagues
John A. Stankovic: colleagues
Tian He: colleagues