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Brief announcement: locality-based aggregate computation in wireless sensor networks
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Source
Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the 28th ACM symposium on Principles of distributed computing table of contents
Calgary, AB, Canada
SESSION: B2-1 table of contents
Pages 298-299  
Year of Publication: 2009
ISBN:978-1-60558-396-9
Authors
Jen-Yeu Chen  National Dong Hwa University, Hualien, Taiwan ROC
Gopal Pandurangan  Purdue University, W. Lafayette, IN, USA
Jianghai Hu  Purdue University, W. Lafayette, IN, USA
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present DRR-gossip, an energy-efficient and robust aggregate computation algorithm in sensor networks. We prove that the DRR-gossip algorithm requires O(n) messages and O(n3/2/log1/2 n) one-hop wireless transmissions to obtain aggregates on a random geometric graph. This reduces the energy consumption by at least a factor of 1/log n over the standard uniform gossip algorithm. Experiments validate the theoretical results and show that DRR-gossip needs much less transmissions than other gossip-based schemes.


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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J.-Y. Chen, G. Pandurangan, and J. Hu, "http://www.cs.purdue.edu/homes/gopal/locality-sensor-agg.pdf."
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Collaborative Colleagues:
Jen-Yeu Chen: colleagues
Gopal Pandurangan: colleagues
Jianghai Hu: colleagues