An integrated system for advanced water risk management based on cloud computing and IoT

TitleAn integrated system for advanced water risk management based on cloud computing and IoT
Publication TypeConference Proceedings
Year of Conference2015
AuthorsTai, H., A.. Celesti, M.. Fazio, M.. Villari, and A.. Puliafito
Conference Name2nd World Symposium on Web Applications and Networking (WSWAN)
Date PublishedMarch
PublisherIEEE Computer Society
Keywordsadvanced water risk management, cloud computing, distributed risk management system, embedded systems, Floods, Internet of Things, IoT, Metals, meteorological observatories, physical environment, Risk management, Rivers, seismic observatories, sensor networks, SIGMA project, Transducers, water observatories, Water pollution, Water resources, Wireless sensor networks

Nowadays, the research and industrial communities are focusing their efforts on the adoption of Cloud computing for a massive interaction with the physical environment. At the same time the concept of Internet of Things (IoT), in which several embedded systems are interconnected over the Internet, is becoming more and more popular. In this context, the SIGMA project aims to exploit Cloud technologies to collect, integrate, and process heterogeneous pieces of data coming from different wireless sensor networks (e.g., meteorological, seismic, and water observatories) with the purpose to build a distributed risk management system for controlling and monitoring both environmental and industrial risks for people and things. In this paper, we specifically discuss on how SIGMA enables users to manage risks related to water. In particular, we will discuss how the whole SIGMA stack works describing the whole process from the moment in which water sensed data (e.g., turbidity, speed, methane, dissolved oxygen, water level, etc) are collected from heterogeneous sensor networks to the moment in which the Cloud-based system uniforms and stores them for processing.