NDLI: Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities

Content Provider	IEEE Xplore Digital Library
Author	Kane, J. Bo Tang Zhen Chen Jun Yan Tao Wei Haibo He Qing Yang
Copyright Year	2015
Description	Author affiliation: Dept. of Electr., Comput., & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA (Kane, J.; Bo Tang; Zhen Chen; Jun Yan; Tao Wei; Haibo He; Qing Yang)
Abstract	We introduce a new parallel computing and communication architecture, Reflex-Tree, with massive sensing, data processing, and control functions suitable for future smart cities. The central feature of the proposed Reflex-Tree architecture is inspired by a fundamental element of the human nervous system: reflex arcs, the neuromuscular reactions and instinctive motions of a part of the body in response to urgent situations. At the bottom level of the Reflex-Tree (layer 4), novel sensing devices are proposed that are controlled by low power processing elements. These "leaf" nodes are then connected to new classification engines based on machine learning techniques, including support vector machines (SVM), to form the third layer. The next layer up consists of servers that provide accurate control decisions via multi-layer adaptive learning and spatial-temporal association, before they are connected to the top level cloud where complex system behavior analysis is performed. Our multi-layered architecture mimics human neural circuits to achieve the high levels of parallelization and scalability required for efficient city-wide monitoring and feedback. To demonstrate the utility of our architecture, we present the design, implementation, and experimental evaluation of a prototype Reflex-Tree. City power supply network and gas pipeline management scenarios are used to drive our prototype as case studies. We show the effectiveness for several levels of the architecture and discuss the feasibility of implementation.
Starting Page	360
Ending Page	369
File Size	738891
Page Count	10
File Format	PDF
ISBN	9781467375870
ISSN	01903918
DOI	10.1109/ICPP.2015.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Smart cities Computer architecture Cities and towns Wireless sensor networks Real-time systems Parallel processing fiber optic sensing networks parallel architectures pattern recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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