NDLI: SIROM3 -- A Scalable Intelligent Roaming Multi-modal Multi-sensor Framework

Content Provider	IEEE Xplore Digital Library
Author	Jiaxing Zhang Hanjiao Qiu Shamsabadi, S.S. Birken, R. Schirner, G.
Copyright Year	2014
Description	Author affiliation: CIV, Northeastern Univ., Boston, MA, USA (Shamsabadi, S.S.; Birken, R.) \|\| Dept. of ECE, Northeastern Univ., Boston, MA, USA (Jiaxing Zhang; Hanjiao Qiu; Schirner, G.)
Abstract	Understanding the future transportation infrastructure performance demands a smart Cyber-Physical Systems (CPS) approach integrating heterogeneous sensors, versatile computing systems, and mobile agents. However, due to sensor versatility and computing intricacy, designing such systems faces challenges of immense complexity in mobile sensor fusion, big data handling, system scalability, and integration. This paper introduces $SIROM^{3},$ a Scalable Intelligent Roaming Multi-Modal Multi-Sensor framework, for next generation transportation infrastructure performance inspection. $SIROM^{3}$ offers a scalable and expandable framework through orthogonally abstracting software / hardware structures in a layered Run-Time Environment (RTE), which facilities sensor fusion, distributed computing, communication and mobile services. A Heterogeneous Stream File-system Overlay (HSFO) and a flexible plug-in system (PLEX) are embedded in $SIROM^{3}$ to simplify big data storage, processing, and correlation. To evaluate the scalability of SIROM, we implemented a mobile sensing system of 30 heterogeneous sensors and 5 computing platforms coordinated by 1 data center. SIROM's expandability is highlighted by adding an advanced radar platform which required less than 50 lines of C++ code for integration. Over 20 terabytes of data covering 300 miles have been collected, aggregated, and fused using $SIROM^{3}$ for comprehending the pavement dynamics of the entire city of Brockton, MA. $SIROM^{3}$ offers a unified solution and ideal research platform for rapid, intelligent and comprehensive evaluation of tomorrow's transportation infrastructure performance using heterogeneous systems.
Sponsorship	IEEE Comput. Soc.
Starting Page	446
Ending Page	455
File Size	884105
Page Count	10
File Format	PDF
ISBN	9781479935758
ISSN	07303157
DOI	10.1109/COMPSAC.2014.97
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-21
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor systems Big data Collaboration Vehicles Synchronization Correlation Big Data Management Distributed Systems Cyber-Physical Systems Smart Transportation
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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