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Power conservation and quality of surveillance in target tracking sensor networks
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 10th annual international conference on Mobile computing and networking table of contents
Philadelphia, PA, USA
SESSION: Sensor networks table of contents
Pages: 129 - 143  
Year of Publication: 2004
ISBN:1-58113-868-7
Authors
Chao Gui  University of California - Davis, Davis, CA
Prasant Mohapatra  University of California - Davis, Davis, CA
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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Downloads (6 Weeks): 22,   Downloads (12 Months): 222,   Citation Count: 48
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ABSTRACT

Target tracking is an important application of wireless sensor networks. In this application, the sensor nodes collectively monitor and track the movement of an event or target object. The network operations have two states: the surveillance state during the absence of any event of interest, and the tracking state which is in response to any moving targets. Thus, the power saving operations, which is of critical importance for extending network lifetime, should be operative in two different modes as well. In this paper, we study the power saving operations in both states of network operations. During surveillance state, a set of novel metrics for quality of surveillance is proposed specifically for detecting moving objects. In the tracking state, we propose a collaborative messaging scheme that wakes up and shuts down the sensor nodes with spatial and temporal preciseness. This study, which is a combination of theoretical analysis and simulated evaluations, quantifies the trade-off between power conservation and quality of surveillance while presenting guidelines for efficient deployment of sensor nodes for target tracking application.


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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CITED BY  49

Collaborative Colleagues:
Chao Gui: colleagues
Prasant Mohapatra: colleagues