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How to distribute sensors in a random field?

Published: 26 April 2004 Publication History

Abstract

In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain problems in optimal sampling design and multiterminal source coding. In our model, we partition the field into cells within which the observations are assumed to be the same. A number of identical sensors that can report the observed data to the fusion center at communication rate ¢R are to be allocated to cells so that the distortion achieved at the fusion center is minimized. We find optimal solutions for the Gaussian, binary and simplified Gaussian vector cases.

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  • (2017)Performance Analysis for Qualitative Evaluation with Comparative study for Designing Energy Efficient Algorithm for Wireless SENSOR Networks for Enhancing Lifetime of LEACH Protocol using Dynamic Simulation as Variation in Channel Probing for Opportunistic Power Saving Mechanism for Power Evaluation and Estimation Optimization as Latest Trend used in Electronics and Communication EngineeringJournal of Applied Biotechnology & Bioengineering10.15406/jabb.2017.04.001084:3Online publication date: 21-Dec-2017
  • (2014)Maximum WSN coverage in environments of heterogeneous path lossInternational Journal of Sensor Networks10.1504/IJSNET.2014.06678816:3(185-198)Online publication date: 1-Jan-2014
  • (2014)Optimal nonuniform deployment of sensors for distributed detection in wireless sensor networksACM Transactions on Sensor Networks10.1145/253028810:2(1-27)Online publication date: 31-Jan-2014
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cover image ACM Conferences
IPSN '04: Proceedings of the 3rd international symposium on Information processing in sensor networks
April 2004
464 pages
ISBN:1581138466
DOI:10.1145/984622
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 April 2004

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Author Tags

  1. Gaussian source
  2. contra-polymatroid
  3. multiterminal source coding
  4. rate allocation
  5. water-filling

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

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  • (2017)Performance Analysis for Qualitative Evaluation with Comparative study for Designing Energy Efficient Algorithm for Wireless SENSOR Networks for Enhancing Lifetime of LEACH Protocol using Dynamic Simulation as Variation in Channel Probing for Opportunistic Power Saving Mechanism for Power Evaluation and Estimation Optimization as Latest Trend used in Electronics and Communication EngineeringJournal of Applied Biotechnology & Bioengineering10.15406/jabb.2017.04.001084:3Online publication date: 21-Dec-2017
  • (2014)Maximum WSN coverage in environments of heterogeneous path lossInternational Journal of Sensor Networks10.1504/IJSNET.2014.06678816:3(185-198)Online publication date: 1-Jan-2014
  • (2014)Optimal nonuniform deployment of sensors for distributed detection in wireless sensor networksACM Transactions on Sensor Networks10.1145/253028810:2(1-27)Online publication date: 31-Jan-2014
  • (2013)Border surveillance: A dynamic deployment scheme for WSN-based solutions6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)10.1109/WMNC.2013.6548956(1-8)Online publication date: Apr-2013
  • (2013)Relay Node Deployment Based Small World Effect in Hierarchical Industrial Wireless Sensor NetworksProceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing10.1109/GreenCom-iThings-CPSCom.2013.182(1066-1071)Online publication date: 20-Aug-2013
  • (2012)Efficient algorithms for sensor deployment and routing in sensor networks for network-structured environment monitoring2012 Proceedings IEEE INFOCOM10.1109/INFCOM.2012.6195455(1008-1016)Online publication date: Mar-2012
  • (2010)Sensors' allocation for estimating scalar fields by wireless sensor networks2010 Fifth International Conference on Broadband and Biomedical Communications10.1109/IB2COM.2010.5723610(1-6)Online publication date: Dec-2010
  • (2008)Autonomous Adaptive Resource Management in Sensor Network Systems for Environmental Monitoring2008 IEEE Aerospace Conference10.1109/AERO.2008.4526459(1-9)Online publication date: Mar-2008
  • (2008)Strategies and techniques for node placement in wireless sensor networksAd Hoc Networks10.1016/j.adhoc.2007.05.0036:4(621-655)Online publication date: 1-Jun-2008
  • (2008)Node Positioning for Increased Dependability of Wireless Sensor NetworksAlgorithms and Protocols for Wireless Sensor Networks10.1002/9780470396360.ch9(225-266)Online publication date: 26-Mar-2008
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