Smart water management has become a key policy for the 21st century.<br>Towards this direction, recent advances in ICT and Cyber Physical<br>Systems (CPS) are faced with the challenge of transitioning from<br>episodic sampling of water resources to truly pervasive, self–adaptive,<br>and fast–responsive architectures. To yield pragmatic CPS solutions<br>tailored to the complexity of Water Networks (WN), numerous technical<br>and research challenges must be jointly addressed. The front end of<br>sensing requires the support of smart, scalable and secure heterogeneous<br>network architectures, capable of robust, long–term, and unattended<br>operation in RF–harsh underground and underwater environments.<br>Considering the massive volumes of information generated and the<br>necessity of timely failure detection, the necessity of transiting from<br>centralized to hierarchical and distributed approaches for data<br>processing, estimation, learning and storage intensifies. In addition,<br>privacy preserving high–level data analytics is required to empower<br>end–users and allow highly interactive and real–time water treatment and<br>quality management.<br>The objective of CySWater is to bring together researchers and<br>engineers from the fields of Communications, Networking, Processing, and<br>Learning and practitioners from the Water Industry to both share their<br>experiences, as well as formulate novel CPS paradigms that are tailored<br>to the needs of Smart Water Management. Emphasis will be given to<br>CPS–based approaches targeted at the optimization of water treatment and<br>distribution for urban centers, promoting early–warning, situation<br>awareness and actionable intelligence.<br>The multi–disciplinary nature of the proposed agenda attempts to<br>jointly address front–end sensing (e.g., at water treatment plants,<br>water networks) with more abstract representations of information (e.g.,<br>user feedback on water quality). As such, CySWater aspires to serve as a<br>forum, where application–driven paradigms of CPS design are defined in<br>the context of joint industrial and urban environments.<br>TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO:<br>1. Acquisition, Processing, & Learning:<br>* Hardware, infrastructure, & smart devices, including alternatives on<br>power aspects (e.g., energy harvesting);<br>* Signal sampling, distributed inference (e.g., classification,<br>estimation, learning) & anomaly detection in WN;<br>* Decentralized multi–sensor fusion & data analytics.<br>2. Communications & Networking:<br>* Underground & underwater CPS;<br>* Mobile underground and underwater agents for large–scale CPS;<br>* Heterogeneous networks & systems architecture;<br>* Networked control & Cyber–Physical security for WN.<br>3. Analysis, Performance, & Applications:<br>* Testbeds, simulations & field studies;<br>* Performance, including energy efficiency, quality of service &<br>quality of sensing;<br>* Standardization of CPS for smart WN.<br>
Abbrevation
CySWater
City
SeattleWA
Country
United States
Deadline Paper
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Abstract