research-article

Array of things: a scientific research instrument in the public way: platform design and early lessons learned

Authors:

Charles E. Catlett,

Peter H. Beckman,

Rajesh Sankaran,

Kate Kusiak GalvinAuthors Info & Claims

SCOPE '17: Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering

Pages 26 - 33

https://doi.org/10.1145/3063386.3063771

Published: 18 April 2017 Publication History

Abstract

The "Array of Things" (AoT) project aims to create an urban- scale instrument for research and development across many disciplines. The concept is to exploit Internet of Things (IoT) technologies to build an instrument analogous to an array telescope, where many identical detectors spread over an area work as a unit. AoT, then, is an IoT-enabled "telescope" pointed at the city. With support from the National Science Foundation, the University of Chicago, Argonne National Laboratory, the City of Chicago, and industry the project has adapted an Argonne- developed resilient sensor-hosting platform, Waggle, for urban installations. The project will install 500 units, or "nodes," by late 2018, with installation in phases to allow for technology improvements based on evaluation of early installations as well as to enable one or more insertion points for component upgrades and expansions, such as emerging sensors. This paper describes the initial stages of the project, focusing on lessons learned in areas ranging from resilient technical design to manufacturing to privacy policies and public engagement.

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DeMedeiros KKoh CHendawi A(2024)Clustering on the Chicago Array of Things: Spotting Anomalies in the Internet of Things RecordsFuture Internet10.3390/fi1601002816:1(28)Online publication date: 16-Jan-2024
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cover image ACM Other conferences

SCOPE '17: Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering

April 2017

82 pages

ISBN:9781450349895

DOI:10.1145/3063386

Conference Chairs:
Abhishek Dubey
Vanderbilt University
,
Aniruddha Gokhale
Vanderbilt University
,
Monika Sturm
Siemens
,
Sokwoo Rhee
NIST

Copyright © 2017 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

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Published: 18 April 2017

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CPS Week '17: Cyber Physical Systems Week 2017

April 18 - 21, 2017

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https://dl.acm.org/doi/10.1007/s11227-024-06685-7
Rosário ARaimundo R(2024)Internet of Things and Distributed Computing Systems in Business ModelsFuture Internet10.3390/fi1610038416:10(384)Online publication date: 21-Oct-2024
https://doi.org/10.3390/fi16100384
DeMedeiros KKoh CHendawi A(2024)Clustering on the Chicago Array of Things: Spotting Anomalies in the Internet of Things RecordsFuture Internet10.3390/fi1601002816:1(28)Online publication date: 16-Jan-2024
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Costello TBuraglio NFleming ATasker BSiegel B(2024)Improving transition to IPv6-only via RFC8925 and IPv4 DNS Interventions: A case study in implementing an IPv6-only testbed which informs IPv4-only clients why internet access is unavailableProceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis10.1109/SCW63240.2024.00112(785-792)Online publication date: 17-Nov-2024
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DeMedeiros KAbdelatti MHendawi A(2024)GAN-based Anomaly Detection for Urban Sensing2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10826126(6230-6239)Online publication date: 15-Dec-2024
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