Intelligent Edge-Cloud Framework for Water Quality Monitoring in Water Distribution System

Essa Shahra (Corresponding / Lead Author), Wenyan Wu (Corresponding / Lead Author), Shadi Basurra (Corresponding / Lead Author), Adel Aneiba (Corresponding / Lead Author)

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Ensuring consistent high water quality is paramount in water management planning. This paper addresses this objective by proposing an intelligent edge-cloud framework for water quality monitoring within the water distribution system (WDS). Various scenarios—cloud computing, edge computing, and hybrid edge-cloud computing—are applied to identify the most effective platform for the proposed framework. The first scenario brings the analysis closer to the data generation point (at the edge). The second and third scenarios combine both edge and cloud platforms for optimised performance. In the third scenario, sensor data are directly sent to the cloud for analysis. The proposed framework is rigorously tested across these scenarios. The results reveal that edge computing (scenario 1) outperforms cloud computing in terms of latency, throughput, and packet delivery ratio obtaining 20.33 ms, 148 Kb/s, and 97.47%, respectively. Notably, collaboration between the edge and cloud enhances the accuracy of classification models with an accuracy of up to 94.43%, this improvement was achieved while maintaining the energy consumption rate at the lowest value. In conclusion, our study demonstrates the effectiveness of the proposed intelligent edge-cloud framework in optimising water quality monitoring, and the superior performance of edge computing, coupled with collaborative edge-cloud strategies, underscores the practical viability of this approach
    Original languageEnglish
    Article number196
    JournalWater (Switzerland)
    Volume16
    Issue number2
    DOIs
    Publication statusPublished (VoR) - 5 Jan 2024

    Funding

    Horizon 2020 -MSCA-ITN-IOT4win

    FundersFunder number
    Horizon 2020 Framework Programme
    H2020 Marie Skłodowska-Curie Actions765921

      Keywords

      • Water Quality
      • Edge computing
      • Water distributed system
      • Data Analysis

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