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A coverage-preserving node scheduling scheme for large wireless sensor networks
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Source International Workshop on Wireless Sensor Networks and Applications archive
Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications table of contents
Atlanta, Georgia, USA
SESSION: Network Provisioning table of contents
Pages: 32 - 41  
Year of Publication: 2002
ISBN:1-58113-589-0
Authors
Di Tian  University of Ottawa
Nicolas D. Georganas  University of Ottawa
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 23,   Downloads (12 Months): 173,   Citation Count: 95
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ABSTRACT

In wireless sensor networks that consist of a large number of low-power, short-lived, unreliable sensors, one of the main design challenges is to obtain long system lifetime, as well as maintain sufficient sensing coverage and reliability. In this paper, we propose a node-scheduling scheme, which can reduce system overall energy consumption, therefore increasing system lifetime, by turning off some redundant nodes. Our coverage-based off-duty eligibility rule and backoff-based node-scheduling scheme guarantees that the original sensing coverage is maintained after turning off redundant nodes. We implement our proposed scheme in NS-2 as an extension of the LEACH protocol. We compare the energy consumption of LEACH with and without the extension and analyze the effectiveness of our scheme in terms of energy saving. Simulation results show that our scheme can preserve the system coverage to the maximum extent. In addition, after the node-scheduling scheme turns off some nodes, certain redundancy is still guaranteed, which we believe can provide enough sensing reliability in many applications.


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  95

Collaborative Colleagues:
Di Tian: colleagues
Nicolas D. Georganas: colleagues