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Asymptotically optimal time synchronization in dense sensor networks
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Source International Workshop on Wireless Sensor Networks and Applications archive
Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications table of contents
San Diego, CA, USA
SESSION: Time synch and localization table of contents
Pages: 1 - 10  
Year of Publication: 2003
ISBN:1-58113-764-8
Authors
An-swol Hu  Cornell Univerisity, Ithica, NY
Sergio D. Servetto  Cornell Univerisity, Ithica, NY
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 69,   Citation Count: 10
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ABSTRACT

We consider the problem of synchronization of all clocks in a sensor network, in the regime of asymptotically high node densities. We formulate this problem as one in which all clocks must line up with the clock of an arbitrary node in the network (of course without assuming that this clock can be observed everywhere in the network, nor assuming that this node has any special hardware--this node could be any). We give a state-space description for the generation of observable data as a function of the ideal clock, and we derive an optimal estimator for determining the state of the ideal clock. A salient feature of our approach is that nodes collaborate to generate an aggregate waveform that can be observed simultaneously by all nodes, and that contains enough information to synchronize all clocks. This aggregate waveform effectively simulates the presence of a "super-node" capable of generating a high-power, network-wide time reference signal.


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. Barros and S. D. Servetto. Coding Theorems for the Sensor Reachback Problem with Partially Cooperating Nodes. In Discrete Mathematics and Theoretical Computer Science (DIMACS) series on Network Information Theory, Piscataway, NJ, 2003.
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A. Hu and S. D. Servetto. Optimal Detection for a Distributed Transmission Array. In Proc. IEEE Int. Symp. Inform. Theory (ISIT), Yokohama, Japan, 2003.
 
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S. D. Servetto. Quantization with Side Information: Lattice Codes, Asymptotics, and Applications in Wireless Networks. Submitted to the IEEE Trans. Inform. Theory, March 2002. Available from http://cn.ece.cornell.edu/.
 
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S. D. Servetto. Distributed Signal Processing Algorithms for the Sensor Broadcast Problem. In Proc. 37th Annual Conf. Inform. Sciences Syst. (CISS), Baltimore, MD, 2003.
 
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S. D. Servetto. Sensing Lena---Massively Distributed Compression of Sensor Images. In Proc. IEEE Int. Conf. Image Proc. (ICIP), 2003. Invited paper.
 
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CITED BY  10

Collaborative Colleagues:
An-swol Hu: colleagues
Sergio D. Servetto: colleagues