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On exploiting asymmetric wireless links via one-way estimation
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International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing table of contents
Montreal, Quebec, Canada
SESSION: Link layer design and scheduling table of contents
Pages: 11 - 21  
Year of Publication: 2007
ISBN:978-1-59593-684-4
Authors
Lifeng Sang  The Ohio State University, Columbus, OH
Anish Arora  The Ohio State University, Columbus, OH
Hongwei Zhang  Wayne State University, Detroit, MI
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A substantial percentage of links in wireless networks, especially low-power ones, is asymmetric. For the low-quality direction of asymmetric links, we observe based on testbed experiments that the reliability of synchronous acknowledgments is considerably higher than that of asynchronous messages. Thus the norm of estimating link quality in both directions via asynchronous beacons such as in ETX-based routing potentially underestimates the link reliability of asymmetric links. This leads us to investigate how to exploit asymmetric links in order to improve network functions such as convergecast routing in sensor networks via one-way link estimation. We propose a new one-way link metric ETF (for the expected number of transmissions over forward links) and present a local procedure for its estimation. We use ETF to identify high reliability forward links and use dynamic retransmission thresholding for error control and observe an improvement inconvergecast routing over ETX. This is quantified with experimental testbed results with respect to reliability, number of transmissions per packet, latency, duplicates and average hops. We also study the comparative performance improvement of ETF over ETX when no special mechanism is employed to discover asymmetric links.


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.

 
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Collaborative Colleagues:
Lifeng Sang: colleagues
Anish Arora: colleagues
Hongwei Zhang: colleagues