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  Improved Approximation Algorithms for Connected Sensor Cover

Funke, S., Kesselmann, A., Lotker, Z., & Segal, M. (2004). Improved Approximation Algorithms for Connected Sensor Cover. In Ad-hoc, mobil and wireless networks: Third International Conference, ADHOC-NOW 2004 (pp. 56-69). Berlin, Germany: Springer.

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 Creators:
Funke, Stefan1, Author           
Kesselmann, Alexander1, Author           
Lotker, Zvi1, Author           
Segal, Michael, Author
Nikolaidis, Ioanis, Editor
Barbeau, Michel, Editor
Kranakis, Evangelos, Editor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: Wireless sensor networks have recently posed many new system building challenges. One of the main problems is energy conservation since most of the sensors are devices with limited battery life and it is infeasible to replenish energy via replacing batteries. An effective approach for energy conservation is scheduling sleep intervals for some sensors, while the remaining sensors stay active providing continuous service. In this paper we consider the problem of selecting a set of active sensors of minimum cardinality that maintains sensing coverage and network connectivity. We study different variations of this problem. The main contribution of this paper is a thorough investigation of algorithms for covering an area with sensors that have fixed locations.

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Language(s): eng - English
 Dates: 2005-06-062004
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231196
Other: Local-ID: C1256428004B93B8-32693AEA1CCA4EDCC1256F8F006A197D-FKLS2004
 Degree: -

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Title: Untitled Event
Place of Event: Vancouver, Canada
Start-/End Date: 2004-07-22

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Title: Ad-hoc, mobil and wireless networks : Third International Conference, ADHOC-NOW 2004
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 56 - 69 Identifier: ISBN: 3-540-22543-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 3158 Sequence Number: - Start / End Page: - Identifier: -