Article

Ultra-low power data storage for sensor networks

Authors:

Peter Desnoyers,

Deepak Ganesan,

Prashant ShenoyAuthors Info & Claims

IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks

Pages 374 - 381

https://doi.org/10.1145/1127777.1127833

Published: 19 April 2006 Publication History

Abstract

Local storage is required in many sensor network applications, both for archival of detailed event information, as well as to overcome sensor platform memory constraints. While extensive measurement studies have been performed to highlight the trade-off between computation and communication in sensor networks, the role of storage has received little attention. The storage subsystems on currently available sensor platforms have not exploited technology trends, and consequently the energy cost of storage on these platforms is as high as that of communication. Current flash memories, however, offer a low-priced, high-capacity and extremely energy-efficient storage solution.In this paper, we perform a comprehensive evaluation of the active and sleep-mode energy consumption of available flash-based storage options for sensor platforms. Our results demonstrate more than a 100-fold decrease in per-byte energy consumption for surface-mount parallel NAND flash in comparison with the MicaZ on-board serial flash. In addition, this dramatically reduces storage energy costs relative to communication, introducing a new dimension in traditional computation vs communication trade-offs. Our results have significant ramifications on the design of sensor platforms as well as on the energy consumption of sensing applications. We quantify the potential energy gains for two commonly used sensor network services: communication and in-network data aggregation. Our measurements show significant improvements in each service: 50-fold and up to 10-fold reductions in energy for communication and data aggregation respectively.

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Cited By

Kannan THoffmann HFalsafi BFerdman MLu SWenisch T(2022)Protecting adaptive sampling from information leakage on low-power sensorsProceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3503222.3507775(240-254)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3503222.3507775
A AlDammas MTabbabi ESoudani A(2019)Low-Energy ECG Processing for Accurate Features' Extraction in Wireless Body Sensor Networks2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)10.1109/CAIS.2019.8769544(1-4)Online publication date: May-2019
https://doi.org/10.1109/CAIS.2019.8769544
Palma JDuran-Faundez CDe P. Carvalho LMorais CC. L. F. Oliveira RRubio EHerman K(2018)Protocol for Energy-Efficiency in Networked Control Systems Based on WSNSensors10.3390/s1808259018:8(2590)Online publication date: 7-Aug-2018
https://doi.org/10.3390/s18082590
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Index Terms

Ultra-low power data storage for sensor networks
1. Hardware
  1. Hardware validation
  2. Integrated circuits
    1. Semiconductor memory

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Published In

cover image ACM Conferences

IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks

April 2006

514 pages

ISBN:1595933344

DOI:10.1145/1127777

General Chair:
John Stankovic
University of Virginia
,
Program Chairs:
Phillip Gibbons
Intel Research
,
Stephen Wicker
Cornell University
,
Joe Paradiso
MIT

Copyright © 2006 ACM.

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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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 April 2006

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IPSN06: The Fifth International Conference on Information Processing in Sensor Networks 2006

April 19 - 21, 2006

Tennessee, Nashville, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Kannan THoffmann HFalsafi BFerdman MLu SWenisch T(2022)Protecting adaptive sampling from information leakage on low-power sensorsProceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3503222.3507775(240-254)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3503222.3507775
A AlDammas MTabbabi ESoudani A(2019)Low-Energy ECG Processing for Accurate Features' Extraction in Wireless Body Sensor Networks2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)10.1109/CAIS.2019.8769544(1-4)Online publication date: May-2019
https://doi.org/10.1109/CAIS.2019.8769544
Palma JDuran-Faundez CDe P. Carvalho LMorais CC. L. F. Oliveira RRubio EHerman K(2018)Protocol for Energy-Efficiency in Networked Control Systems Based on WSNSensors10.3390/s1808259018:8(2590)Online publication date: 7-Aug-2018
https://doi.org/10.3390/s18082590
Gupta ABansal CHusain A(2018)Ground Water Quality Monitoring Using Wireless Sensors and Machine Learning2018 International Conference on Automation and Computational Engineering (ICACE)10.1109/ICACE.2018.8687093(121-125)Online publication date: Oct-2018
https://doi.org/10.1109/ICACE.2018.8687093
Almusallam MSoudani A(2017)Feature-based ECG sensing scheme for energy efficiency in WBSN2017 International Conference on Informatics, Health & Technology (ICIHT)10.1109/ICIHT.2017.7899009(1-6)Online publication date: Feb-2017
https://doi.org/10.1109/ICIHT.2017.7899009
AlMusallam MSoudani A(2016)Energy-aware ECG sensing scheme for M-health applications2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)10.1109/ICEDSA.2016.7818472(1-4)Online publication date: Dec-2016
https://doi.org/10.1109/ICEDSA.2016.7818472
Fazackerley SPenson WLawrence R(2016)Write improvement strategies for serial NOR dataflash memory2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE.2016.7726758(1-6)Online publication date: May-2016
https://doi.org/10.1109/CCECE.2016.7726758
Xu XHuang H(2015)Exploring Data-Level Error Tolerance in High-Performance Solid-State DrivesIEEE Transactions on Reliability10.1109/TR.2014.235493164:1(15-30)Online publication date: Mar-2015
https://doi.org/10.1109/TR.2014.2354931
Bertossi ADiodati DPinotti C(2015)Storage Placement in Path NetworksIEEE Transactions on Computers10.1109/TC.2014.231564264:4(1201-1207)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1109/TC.2014.2315642
Wang JLam KChang YHsieh JHuang P(2015)Block-Based Multi-Version B$^+$ -Tree for Flash-Based Embedded Database SystemsIEEE Transactions on Computers10.1109/TC.2014.230821364:4(925-940)Online publication date: Apr-2015
https://doi.org/10.1109/TC.2014.2308213
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