Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Computer Systems



+44 (0)20 7594 8375j.mccann Website




258ACE ExtensionSouth Kensington Campus






BibTex format

author = {Babazadeh, M and Kartakis, S and McCann, JA},
doi = {10.1109/APSIPA.2017.8282186},
pages = {1065--1074},
publisher = {IEEE},
title = {Highly-Distributed Sensor Processing using IoT for Critical Infrastructure Monitoring},
url = {},
year = {2018}

RIS format (EndNote, RefMan)

AB - 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.
AU - Babazadeh,M
AU - Kartakis,S
AU - McCann,JA
DO - 10.1109/APSIPA.2017.8282186
EP - 1074
PY - 2018///
SN - 2309-9402
SP - 1065
TI - Highly-Distributed Sensor Processing using IoT for Critical Infrastructure Monitoring
UR -
UR -
UR -
ER -