Highly-Distributed Sensor Processing using IoT for Critical Infrastructure Monitoring
File(s)highly-distributed-sensor.pdf (339.01 KB)
Accepted version
Author(s)
Babazadeh, Mehrdad
Kartakis, Sokratis
McCann, Julie A
Type
Conference Paper
Abstract
Highly-distributed signal processing for critical monitoring infrastructures has been a main research topic over the last decade. Under this context, we show the three phases of the joint "Cyber-physical control system" project; a collaboration between Imperial College London and NEC Corp. Japan. First, the implementation of edge processing with multiple tasks including data mining and communication, developed on a lightweight single core low-powered MCU system is presented. This algorithm has been effectively customized to be implemented on resource-constrained embedded systems. The developed sensor network is coupled with a low-powered wide range LoRa platform for transmission of the minimized payload. The work explores the node-to-node communication limitations and discusses how edge processing can be used for water network control and we present the overview of a Cyber-physical control system which is concerned with the event-triggered control of a water network. Finally, the results of the LoRa communication tests are given.
Date Issued
2018-02-08
Date Acceptance
2017-12-12
Citation
2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017), 2018, pp.1065-1074
ISSN
2309-9402
Publisher
IEEE
Start Page
1065
End Page
1074
Journal / Book Title
2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017)
Copyright Statement
© 2017 APSIPA.
Sponsor
NEC Research Institute Inc
NEC Research Institute Inc
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000425879400191&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
Yuichi Nakamura
SPS-CTRL
Source
9th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC)
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Publication Status
Published
Start Date
2017-12-12
Finish Date
2017-12-15
Coverage Spatial
Kuala Lumpur, MALAYSIA
Date Publish Online
2018-02-08