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Integrated coverage and connectivity configuration in wireless sensor networks
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 1st international conference on Embedded networked sensor systems table of contents
Los Angeles, California, USA
SESSION: Coverage table of contents
Pages: 28 - 39  
Year of Publication: 2003
ISBN:1-58113-707-9
Authors
Xiaorui Wang  Washington University in St. Louis, St. Louis, MO
Guoliang Xing  Washington University in St. Louis, St. Louis, MO
Yuanfang Zhang  Washington University in St. Louis, St. Louis, MO
Chenyang Lu  Washington University in St. Louis, St. Louis, MO
Robert Pless  Washington University in St. Louis, St. Louis, MO
Christopher Gill  Washington University in St. Louis, St. Louis, MO
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 25,   Downloads (12 Months): 272,   Citation Count: 78
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ABSTRACT

An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. For the sensor network to operate successfully, the active nodes must maintain both sensing coverage and network connectivity. Furthermore, the network must be able to configure itself to any feasible degrees of coverage and connectivity in order to support different applications and environments with diverse requirements. This paper presents the design and analysis of novel protocols that can dynamically configure a network to achieve guaranteed degrees of coverage and connectivity. This work differs from existing connectivity or coverage maintenance protocols in several key ways: 1) We present a Coverage Configuration Protocol (CCP) that can provide different degrees of coverage requested by applications. This flexibility allows the network to self-configure for a wide range of applications and (possibly dynamic) environments. 2) We provide a geometric analysis of the relationship between coverage and connectivity. This analysis yields key insights for treating coverage and connectivity in a unified framework: this is in sharp contrast to several existing approaches that address the two problems in isolation. 3) Finally, we integrate CCP with SPAN to provide both coverage and connectivity guarantees. We demonstrate the capability of our protocols to provide guaranteed coverage and connectivity configurations, through both geometric analysis and extensive simulations.


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.

 
1
A. Cerpa and D. Estrin, "ASCENT: Adaptive Self-Configuring Sensor Networks Topologies," INFOCOM, June 2002.
 
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3
 
4
CMU Monarch Extensions to ns. http://www.monarch.cs.cmu.edu/.
5
 
6
T. Clouqueur, P. Ramanathan, K. K. Saluja, and K.-C. Wang. "Value-fusion versus decision-fusion for fault-tolerance in collaborative target detection in sensor networks." In Proceedings of Fourth International Conference on Information Fusion, Aug. 2001.
 
7
A. D'Costa and A. Sayeed, "Collaborative Signal Processing for Distributed Classification in Sensor Networks," The 2nd International Workshop on Information Processing in Sensor Networks (IPSN 2003), April 22-23, 2003, Palo Alto, CA.
 
8
P. Hall, Introduction to the Theory of Coverage Processes. John Wiley & Sons Inc., New York, 1998.
 
9
D. Li, K. Wong, Y. H. Hu, A. Sayeed. "Detection, Classification and Tracking of Targets in Distributed Sensor Networks", IEEE Signal Processing Magazine, Volume: 19 Issue: 2, Mar 2002.
 
10
S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. Srivastava, "Coverage Problems in Wireless Ad-Hoc Sensor Networks." INFOCOM'01, Vol 3, pp. 1380--1387, April 2001.
11
 
12
S. Meguerdichian and M. Potkonjak. "Low Power 01 Coverage and Scheduling Techniques in Sensor Networks." UCLA Technical Reports 030001. January 2003.
 
13
S. Pattem, S. Poduri, and B. Krishnamachari, "Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks," The 2nd Workshop on Information Processing in Sensor Networks (IPSN 2003), April 2003.
14
 
15
 
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Y. Xu, J. Heidemann, and D. Estrin, "Adaptive Energy-Conserving Routing for Multihop Ad Hoc Networks," Research Report 527, USCInformation Sciences Institute, October 2000.
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CITED BY  78
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Xiaorui Wang: colleagues
Guoliang Xing: colleagues
Yuanfang Zhang: colleagues
Chenyang Lu: colleagues
Robert Pless: colleagues
Christopher Gill: colleagues