research-article

SILENCE: distributed adaptive sampling for sensor-based autonomic systems

Authors:

Hariharasudhan Viswanathan,

Dario PompiliAuthors Info & Claims

ICAC '11: Proceedings of the 8th ACM international conference on Autonomic computing

Pages 61 - 70

https://doi.org/10.1145/1998582.1998594

Published: 14 June 2011 Publication History

Abstract

Adaptive sampling and sleep scheduling can help realize the much needed resource efficiency in densely deployed autonomic sensor-based systems that monitor and reconstruct physical or environmental phenomena. This paper presents a data-centric approach to distributed adaptive sampling aimed at minimizing the communication and processing overhead in autonomic networked sensor-based systems. The proposed solution exploits the spatio-temporal correlation in sensed data and eliminates redundancy in transmitted data through selective representation without compromising on accuracy of reconstruction of the monitored phenomenon at a remote monitor node. In addition, the solution also exploits the same correlations for adaptive sleep scheduling aimed at saving energy in Wireless Sensor Networks (WSNs) while also providing a mechanism for ensuring connectivity to the monitor node. The data-centric joint adaptive-sampling and sleep-scheduling solution, SILENCE, has been evaluated through real experiments on a testbed monitoring temperature and humidity distribution in a rack of servers as well as through extensive simulations on TOSSIM, the TinyOS simulator.

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Casadei RMariani SPianini DViroli MZambonelli F(2022)Space-Fluid Adaptive Sampling: A Field-Based, Self-organising ApproachCoordination Models and Languages10.1007/978-3-031-08143-9_7(99-117)Online publication date: 14-Jun-2022
https://doi.org/10.1007/978-3-031-08143-9_7
Mukherjee PMukherjee A(2019)Advanced processing techniques and secure architecture for sensor networks in ubiquitous healthcare systemsSensors for Health Monitoring10.1016/B978-0-12-819361-7.00001-4(3-29)Online publication date: 2019
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Index Terms

SILENCE: distributed adaptive sampling for sensor-based autonomic systems
1. Networks
  1. Network protocols

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Published In

cover image ACM Conferences

ICAC '11: Proceedings of the 8th ACM international conference on Autonomic computing

June 2011

278 pages

ISBN:9781450306072

DOI:10.1145/1998582

General Chairs:
Hartmut Schmeck
Karlsruhe Institute of Technology, Germany
,
Wolfgang Rosenstiel
University of Tübingen, Germany
,
Program Chairs:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign, USA
,
Joseph Hellerstein
Google, USA

Copyright © 2011 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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Publication History

Published: 14 June 2011

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ICAC '11

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University of Arizona
SIGARCH

ICAC '11: 8th International Conference on Autonomic Computing

June 14 - 18, 2011

Karlsruhe, Germany

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Cited By

Pianini DCasadei RMariani SAguzzi GViroli MZambonelli F(2024)Space-Fluid and Time-Fluid ProgrammingFluidware10.1007/978-3-031-62146-8_6(107-134)Online publication date: 13-May-2024
https://doi.org/10.1007/978-3-031-62146-8_6
Casadei RMariani SPianini DViroli MZambonelli F(2022)Space-Fluid Adaptive Sampling: A Field-Based, Self-organising ApproachCoordination Models and Languages10.1007/978-3-031-08143-9_7(99-117)Online publication date: 14-Jun-2022
https://doi.org/10.1007/978-3-031-08143-9_7
Mukherjee PMukherjee A(2019)Advanced processing techniques and secure architecture for sensor networks in ubiquitous healthcare systemsSensors for Health Monitoring10.1016/B978-0-12-819361-7.00001-4(3-29)Online publication date: 2019
https://doi.org/10.1016/B978-0-12-819361-7.00001-4
Silvestri SUrgaonkar RZafer MKo B(2018)A Framework for the Inference of Sensing Measurements Based on CorrelationACM Transactions on Sensor Networks10.1145/327203515:1(1-28)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.1145/3272035
Pandey PViswanathan HPompili D(2018)Robust orchestration of concurrent application workflows in mobile device cloudsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2018.05.004120(101-114)Online publication date: Oct-2018
https://doi.org/10.1016/j.jpdc.2018.05.004
Lee EViswanathan HPompili D(2015)Distributed Data-Centric Adaptive Sampling for Cyber-Physical SystemsACM Transactions on Autonomous and Adaptive Systems (TAAS)10.1145/26448209:4(1-27)Online publication date: 14-Jan-2015
https://dl.acm.org/doi/10.1145/2644820
Silvestri SUrgaonkar RZafer MKo B(2015)An Online Method for Minimizing Network Monitoring Overhead2015 IEEE 35th International Conference on Distributed Computing Systems10.1109/ICDCS.2015.35(268-277)Online publication date: Jun-2015
https://doi.org/10.1109/ICDCS.2015.35
Sabri-e-Zaman Gupta MMondragon RBodanese E(2014)An eigendecomposition based adaptive spatial sampling technique for wireless sensor networks39th Annual IEEE Conference on Local Computer Networks10.1109/LCN.2014.6925809(430-433)Online publication date: Sep-2014
https://doi.org/10.1109/LCN.2014.6925809
Viswanathan HLee ERodero IPompili DMilojicic DXu DTalwar V(2012)An autonomic resource provisioning framework for mobile computing gridsProceedings of the 9th international conference on Autonomic computing10.1145/2371536.2371550(79-84)Online publication date: 18-Sep-2012
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Viswanathan HLee EPompili D(2012)Mobile grid computing for data- and patient-centric ubiquitous healthcare2012 The First IEEE Workshop on Enabling Technologies for Smartphone and Internet of Things (ETSIoT)10.1109/ETSIoT.2012.6311263(36-41)Online publication date: Jun-2012
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