281 Chapter 11 Maximizing the Lifetime of an Always-On WSN Application
Santosh Kumar, Anish Arora, and Ten H. Lai
Acknowledgments
We would like to thank Sandip Bapat, Hui Cao, and Hongwei Zhang from
the Ohio State University for their valuable feedback on an earlier draft of
this chapter. We would also like to thank Emre Ertin from the Ohio State
University and Prabal K. Dutta from University of California, Berkeley for
sharing with us their knowledge of hierarchical sensing and power management
features of the XSM.
References
1.
Berkeley, CA, 2004.
2.
Time Computing Systems and Applications (IEEE RTCSA), Hongkong, 2005.
3.
Scale Wireless Sensor Network Experiment, IEEE ICNP, Boston, 2005.
4.
pp. 57-59.
5.
Sensor Networks, IEEE Infocom, Miami, FL, 2005.
6.
cations (ICC), Paris, FR, 2004.
7. Mica2 Series Motes, http://www.xbow.com, 2004.
8.
2002, pp. 40-48.
9.
in Sensor Networks (IPSN), Los Angeles, CA, 2005.
10. J. Elson and D. Estrin, Sensor Networks: A Bridge to the PhysicalWorld, in C.S.
Boston, Kluwer Academic Publisher, 2004, pp. 3-20.
11. L. Gu and J.A. Stankovic, Radio Triggered Wake-Up Capability for Sensor
Networks, In Proceedings of Real Time Applications Symposium, May 2004.
12. H. Gupta, S.R. Das, and Q. Gu, Connected Sensor Cover: Self-Organization
282
Z. Abrams, A. Goel, and S. Plotkin, Set k-Cover Algorithms for Energy E?±-
cient Monitoring in Wireless Sensor Networks, In Proceedings of the Third International
Conference on Information Processing in Sensor Networks (IPSN),
A.
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