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Design techniques for sensor appliances: foundations and light compass case study

Published: 02 June 2003 Publication History

Abstract

We propose the first systematic, sensor-centric approach for quantitative design of sensor network appliances. We demonstrate its use by designing light appliance devices and the associated middleware. We have developed five models which are required to make this problem tractable and to undertake the challenging task of designing light sensor appliances: (i) physical world, (ii) light sensor, (iii) physical phenomenon, (iv) appliance design, and (v) computational model. With these models in place, we present the new design methodology that consists of two mains steps: (1) a procedure for placement of individual sensors of the appliance, and (2) error minimization-based sensor data interpretation middleware. We have developed new optimization techniques for both tasks. A portable light sensor system was designed using the optimization intensive procedure, and its effectiveness demonstrated.

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        cover image ACM Conferences
        DAC '03: Proceedings of the 40th annual Design Automation Conference
        June 2003
        1014 pages
        ISBN:1581136889
        DOI:10.1145/775832
        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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        New York, NY, United States

        Publication History

        Published: 02 June 2003

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        Author Tags

        1. sensor appliances
        2. sensor networks

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        DAC '03 Paper Acceptance Rate 152 of 628 submissions, 24%;
        Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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        • (2014)LightVestProceedings of the 9th International Conference on Body Area Networks10.4108/icst.bodynets.2014.257045(186-192)Online publication date: 29-Sep-2014
        • (2013)Small is Beautiful and SmartTelehealthcare Computing and Engineering10.1201/b14770-16Online publication date: 2-May-2013
        • (2012)IntroductionLocalization in Wireless Networks10.1007/978-1-4614-1839-9_1(1-7)Online publication date: 3-May-2012
        • (2010)Vertical System FunctionsCooperating Embedded Systems and Wireless Sensor Networks10.1002/9780470610817.ch4(259-345)Online publication date: 2-Feb-2010
        • (2009)Sensor Network ArchitectureHandbook of Sensor Networks10.1201/9780203489635.sec3Online publication date: 4-Nov-2009
        • (2006)Virtual sensing rangeProceedings of the 4th international conference on Embedded networked sensor systems10.1145/1182807.1182874(397-398)Online publication date: 31-Oct-2006
        • (2004)Differential on-line sensor calibrationProceedings of IEEE Sensors, 2004.10.1109/ICSENS.2004.1426188(417-420)Online publication date: 2004
        • (2003)Model-based calibration for sensor networksProceedings of IEEE Sensors 2003 (IEEE Cat. No.03CH37498)10.1109/ICSENS.2003.1279039(737-742)Online publication date: 2003

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