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Efficient handling of sensor failures
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DMSN; Vol. 273 archive
Proceedings of the 3rd workshop on Data management for sensor networks: in conjunction with VLDB 2006 table of contents
Seoul, Korea
SESSION: Paper session 2 table of contents
Pages: 33 - 40  
Year of Publication: 2006
Authors
Andreea Berfield  University of Pittsburgh
Panos K. Chrysanthis  University of Pittsburgh
Alexandros Labrinidis  University of Pittsburgh
Publisher
ACM  New York, NY, USA
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ABSTRACT

Sensors provide unprecedented access to a wealth of information from the physical environment in real-time. However, they suffer from a variety of resource limitations, most importantly power consumption and communication bandwidth. Additionally, environmental conditions can contribute to sensor failures, disrupting the flow of query results. In this paper, we propose new techniques to deal with sensor failures based on the principles of partition and single path redundancy. Our experimental results confirm the efficiency of our techniques with respect to different performance metrics in general, and, in particular, high quality of data.


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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A. Berfield, P. K. Chrysanthis and A. Labrinidis. FDR-SN: Efficient Handling of Sensor Failures. TR-06-140, U. Pittsburgh, 2006.
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W. Choi, S. K. Das, and K. Basu. Angle-based Dynamic Path Construction for Route Load Balancing in Wireless Sensor Networks. WCN, 2004.
 
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G. Gupta and M. Younis. Load-balanced Clustering in Wireless Sensor Networks. ICC, 2003.
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Q. Li, J. Beaver, A. Amer, P. K. Chrysanthis, A. Labrinidis, and G. Santhanakrishnan. Multi-Criteria Routing in Wireless Sensor-Based Pervasive Environments. JPCC, 1(4): 313--326, 2005.
 
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S. Madden, M. J. Franklin, J. M. Hellerstein and W. Hong. TAG: A Tiny Aggregation Service for Ad-Hoc Sensor Networks. OSDI, 2002.
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A. Munteanu, J. Beaver, A. Labrinidis, and P. K. Chrysanthis. Multiple Query Routing Trees in Sensor Networks. DBA, 2005.
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H. Schwetman. CSIM User's Guide. MCC Corporation, 1992.
 
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Y. Yao and J. Gehrke. Query Processing for Sensor Networks. CIDR, 2003.

Collaborative Colleagues:
Andreea Berfield: colleagues
Panos K. Chrysanthis: colleagues
Alexandros Labrinidis: colleagues