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On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks

On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks SIDDHARTH GARG, University of Waterloo DIANA MARCULESCU, Carnegie Mellon University The lifetime of individual nodes in a sensor network depends strongly on the leakage power of the nodes in idle state. With technology scaling, variability in leakage power dissipation of sensor nodes will cause increased variability in their lifetimes. In this article, we analyze how the lifetime variations of sensor nodes affect the performance of the sensor network as a whole. We demonstrate the use of the proposed framework to explore deployment cost versus performance trade-offs for sensor networks. Results indicate that up to 37% improvement in the critical lifetime of a sensor network can be obtained with a 20% increase in deployment cost. Categories and Subject Descriptors: C.4 [Computer Systems Organization]: Performance of Systems ” Fault tolerance General Terms: Design, Algorithms, Performance Additional Key Words and Phrases: Wireless sensor networks, process variations, lifetime ACM Reference Format: Garg, S. and Marculescu, D. 2012. On the impact of manufacturing process variations on the lifetime of sensor networks. ACM Trans. Embed. Comput. Syst. 11, 2, Article 33 (July 2012), 13 pages. DOI = 10.1145/2220336.2220345 http://doi.acm.org/10.1145/2220336.2220345 1. INTRODUCTION http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/2220336.2220345
Publisher site
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Abstract

On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks SIDDHARTH GARG, University of Waterloo DIANA MARCULESCU, Carnegie Mellon University The lifetime of individual nodes in a sensor network depends strongly on the leakage power of the nodes in idle state. With technology scaling, variability in leakage power dissipation of sensor nodes will cause increased variability in their lifetimes. In this article, we analyze how the lifetime variations of sensor nodes affect the performance of the sensor network as a whole. We demonstrate the use of the proposed framework to explore deployment cost versus performance trade-offs for sensor networks. Results indicate that up to 37% improvement in the critical lifetime of a sensor network can be obtained with a 20% increase in deployment cost. Categories and Subject Descriptors: C.4 [Computer Systems Organization]: Performance of Systems ” Fault tolerance General Terms: Design, Algorithms, Performance Additional Key Words and Phrases: Wireless sensor networks, process variations, lifetime ACM Reference Format: Garg, S. and Marculescu, D. 2012. On the impact of manufacturing process variations on the lifetime of sensor networks. ACM Trans. Embed. Comput. Syst. 11, 2, Article 33 (July 2012), 13 pages. DOI = 10.1145/2220336.2220345 http://doi.acm.org/10.1145/2220336.2220345 1. INTRODUCTION

Journal

ACM Transactions on Embedded Computing Systems (TECS)Association for Computing Machinery

Published: Jul 1, 2012

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