Highly-distributed sensor processing using IoT for critical infrastructure monitoring

Mehrdad Babazadeh, Sokratis Kartakis, Julie A McCann
2017 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)  
The first phase of a Cyber-physical Systems control project, the event-trigger control of a water network is presented primarily in this paper. The next phase, the implementation of an edge processing with multiple tasks including data mining and communication is discussed in more details afterward where it is developed on a lightweight single core Intel Curie processor, Arduino 101. It is carried out by involved sensor nodes before real data being further evaluated by the central node and
more » ... using the data compression rate, obtained from a well-known Lempel Ziv compression algorithm instead of raw data. This algorithm has been effectively customized to be implemented on resource-constrained embedded systems in this research. The developed sensor network is appropriately coupled with a wide range, but slow LoRa platform for transmission with a minimized payload. The work reaches the node to node communication limitations while using the LoRa platform on the Arduino 101. Furthermore, an independent test focuses on the LoRa limitations not only for the proposed anomaly detection but also for the other applications which is presented as the third phase in this research work.
doi:10.1109/apsipa.2017.8282186 dblp:conf/apsipa/BabazadehKM17 fatcat:37cahhawsnhavlbtbmr6x5ixw4