2017 IEEE Global Humanitarian Technology Conference (GHTC) 2017
DOI: 10.1109/ghtc.2017.8239320
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An Internet of Things (IoT) based sustainable water management

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Cited by 41 publications
(12 citation statements)
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“…Although IoT-based water supply systems are introduced recently, there are several commercial solutions and platforms [45]- [47] available indicating the growing market demand. We found that most of the commercial solutions and platforms are focusing on the data collection, data integration, and data visualization using IoT sensors, while only a few offer predictive analytics of the acquired data [48].…”
Section: Motivationmentioning
confidence: 99%
“…Although IoT-based water supply systems are introduced recently, there are several commercial solutions and platforms [45]- [47] available indicating the growing market demand. We found that most of the commercial solutions and platforms are focusing on the data collection, data integration, and data visualization using IoT sensors, while only a few offer predictive analytics of the acquired data [48].…”
Section: Motivationmentioning
confidence: 99%
“…The architecture design has been developed for smart water management, which presents the detail of water conservation method By Shahanas and Shivakumar [18]. The work done by Narendran et al [19] shows the empirical water management technique based on IoT, which computerizes the water allocation, storage, and regulation of water waste. The work of Radhakrishnan and Wu [20] discusses the IoT technology for the smart water technique.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Furthermore, Calderwood et al state that the negative impact of overexploitation, as well as reduction in the recharge of groundwater resources, is often unknown, even after years have passed, due to data limitations [40]. In addition, groundwater resource information is strenuous to collect and use due to the lack of proper integration between the equipment deployed, irrelevant and inconsistent data as a result of lack of stationary large-scale flow rate hindrances, un-automated groundwater analysis processes, and a lack of interoperability in previous systems [177][178][179][180][181][182]. Consequently, these limitations are causing untold strains in groundwater resource management.…”
Section: Introductionmentioning
confidence: 99%