Unified Intelligent Water Management Using Cyberinfrastructures Based on Cloud Computing and IoT

Suciu, George; Bezdedeanu, Laurentiu; Vasilescu, Andrei; Suciu, Victor

doi:10.1109/cscs.2017.92

Cited by 16 publications

(10 citation statements)

References 7 publications

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“…Slightly diferent in nature, RoyalFlush [49] detects toilet overlows to avoid damage to property such as furniture and appliances. In the same vein, the security aspects of water systems have also been extensively studied [30,48,57].…”

Section: Discussionmentioning

confidence: 99%

ASHRAY: Enhancing Water-usage Comfort in Developing Regions using Data-driven IoT Retrofits

Abbas

Ehsan

Ahmed

et al. 2022

ACM Trans. Cyber-Phys. Syst.

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In developing countries, majority of the households use overhead water tanks to have running water. These water tanks are exposed to the elements, which usually render the tap water uncomfortable to use, given the extreme subtropical weather conditions. Externally weatherproofing these tanks to maintain the groundwater temperature is short-lived, and only results in a marginal (0.5–1 °C) improvement in tap water temperature. We propose Ashray , an IoT-inspired, intelligent system to minimize the exposure of water to the elements thereby maintaining its temperature close to that of the groundwater. Ashray learns the water demand patterns of a household and pumps water into the overhead tank only when necessary. The predictive, machine learning based, approach of Ashray improves water comfort by up to 8 °C in summers and 3 °C in winters, on average. Ashray is retrofitted into existing infrastructure with a hardware prototyping cost of $27, whereas it can save up to 16% on water heating costs, through reduction in natural gas consumption, by leveraging groundwater temperature. Moreover, we also consider a transiently-powered Ashray which uses the energy harvested from the ambient environment, and propose an intermittent data pipeline to improve its prediction accuracy. The transiently-powered Ashray is suitable for long-term deployment, requires minimal maintenance and delivers approximately the same performance. Ashray has the potential to improve the thermal comfort and reduce energy costs for millions of households in developing countries.

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Section: Discussionmentioning

confidence: 99%

ASHRAY: Enhancing Water-usage Comfort in Developing Regions using Data-driven IoT Retrofits

Abbas

Ehsan

Ahmed

et al. 2022

ACM Trans. Cyber-Phys. Syst.

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“…This study focuses on monitoring and managing the water resources using IoT based technique by Xiaocong et al [14]. Suciu et al [15] introduce a method of water management that familiarizes to build unique services in IoT and cloud computing.…”

Section: Review Of Literaturementioning

confidence: 99%

Modeling of Smart Water Control Mechanism using IoT

Akanksha*

2019

IJITEE

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Abstract: The unexpected water demand has become a serious concern in the last few years. The increasing demand for water supply has posed a significant challenge for many countries around the world. Various factors, such as population growth, urbanization, and climate changes, have further exhausted water resources. Therefore, water conservation and natural resource management have become crucial factors for human survival. The proposed study presents the modeling of smart water control system based on IoT technology. The implementation of the proposed water control model is carried out using an analytical approach with cost-effective, functional modules using sensors and wireless communication system. The proposed smart water control mechanism is mainly designed for water distribution and monitoring application.

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“…An intelligent urban water-supply management system, which consists of IoT gateways connecting the water assets (for instance, water pumps, valves, and tanks) to the cloud service platform for advanced analytics, significantly improves the operational efficiency, safety, and service availability of the overall system [28], [29]. There are ongoing efforts to develop efficient remote monitoring systems for pipeline monitoring (such as PIPENET deployed at Boston Water and Sewer Commission [30], [31]), water quality monitoring [32], [33], [34], leak and burst detection [35], [36], and other applications, for instance [37], [38], [39]. The adoption of new technologies (such as IoT, CPS) and networking devices enhances the monitoring capability, service reliability, and operational efficiency of water distribution systems, but also exposes them to malicious intrusions in the form of cyberand cyber-physical attacks [3], [40], [41].…”

Section: Related Workmentioning

confidence: 99%

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

Lászka¹,

Abbas²,

Vorobeychik³

et al. 2018

2018 IEEE International Conference on Industrial Internet (ICII)

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As the Industrial Internet of Things (IIot) becomes more prevalent in critical application domains, ensuring security and resilience in the face of cyber-attacks is becoming an issue of paramount importance. Cyber-attacks against critical infrastructures, for example, against smart water-distribution and transportation systems, pose serious threats to public health and safety. Owing to the severity of these threats, a variety of security techniques are available. However, no single technique can address the whole spectrum of cyber-attacks that may be launched by a determined and resourceful attacker. In light of this, we consider a multi-pronged approach for designing secure and resilient IIoT systems, which integrates redundancy, diversity, and hardening techniques. We introduce a framework for quantifying cyber-security risks and optimizing IIoT design by determining security investments in redundancy, diversity, and hardening. To demonstrate the applicability of our framework, we present two case studies in water distribution and transportation systems. Our numerical evaluation shows that integrating redundancy, diversity, and hardening can lead to reduced security risk at the same cost.

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Unified Intelligent Water Management Using Cyberinfrastructures Based on Cloud Computing and IoT

Cited by 16 publications

References 7 publications

ASHRAY: Enhancing Water-usage Comfort in Developing Regions using Data-driven IoT Retrofits

ASHRAY: Enhancing Water-usage Comfort in Developing Regions using Data-driven IoT Retrofits

Modeling of Smart Water Control Mechanism using IoT

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

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