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The low power energy aware processing (LEAP)embedded networked sensor system

Published: 19 April 2006 Publication History

Abstract

A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. This paper also describes a new distributed node testbed demonstrating that by exploiting high high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture may meet both sensing performance and energy dissipation objectives for a broad class of applications.

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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
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: 19 April 2006

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Author Tags

  1. embedded wireless networked sensor
  2. energy-aware multiprocessor platform
  3. sensor platform hardware and software architecture

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  • (2019)Power Optimization of Arduino-Based Sensor System for Salton Sea Environmental Monitoring2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS.2019.8884880(1215-1218)Online publication date: Aug-2019
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  • (2017)Performance analysis of an improved dynamic power management model in wireless sensor nodeDigital Communications and Networks10.1016/j.dcan.2016.10.0083:1(19-29)Online publication date: Feb-2017
  • (2016)OS-based Resource Accounting for Asynchronous Resource Use in Mobile SystemsProceedings of the 2016 International Symposium on Low Power Electronics and Design10.1145/2934583.2934639(296-301)Online publication date: 8-Aug-2016
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  • (2016)JetsonLeap: A Framework to Measure Energy-Aware Code Optimizations in Embedded and Heterogeneous SystemsProgramming Languages10.1007/978-3-319-45279-1_2(16-30)Online publication date: 17-Sep-2016
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