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Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes

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Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes. / Li, Teng; Xia, Min; Chen, Jiahong et al.
In: Sensors (Switzerland), Vol. 17, No. 8, 1735, 01.08.2017.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Li, T, Xia, M, Chen, J, Zhao, Y & de Silva, C 2017, 'Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes', Sensors (Switzerland), vol. 17, no. 8, 1735. https://doi.org/10.3390/s17081735

APA

Li, T., Xia, M., Chen, J., Zhao, Y., & de Silva, C. (2017). Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes. Sensors (Switzerland), 17(8), Article 1735. https://doi.org/10.3390/s17081735

Vancouver

Li T, Xia M, Chen J, Zhao Y, de Silva C. Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes. Sensors (Switzerland). 2017 Aug 1;17(8):1735. Epub 2017 Jul 28. doi: 10.3390/s17081735

Author

Li, Teng ; Xia, Min ; Chen, Jiahong et al. / Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes. In: Sensors (Switzerland). 2017 ; Vol. 17, No. 8.

Bibtex

@article{394e7a52db55403ba5c1a17aff88c750,
title = "Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes",
abstract = "An Internet of Things (IoT) platform with capabilities of sensing, data processing, and wireless communication has been deployed to support remote aquatic environmental monitoring. In this paper, the design and development of an IoT platform with multiple Mobile Sensor Nodes (MSN) for the spatiotemporal quality evaluation of surface water is presented. A survey planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over the study area and generate paths for MSNs to visit the SLoIs, given the limited energy and time budgets. The SLoIs are chosen based on a cellular decomposition that is composed of uniform hexagonal cells. They are visited by the MSNs along a path ring generated by a planning approach that uses a spanning tree. For quality evaluation, an Online Water Quality Index (OLWQI) is developed to interpret the large quantities of online measurements. The index formulations are modified by a state-of-the-art index, the CCME WQI, which has been developed by the Canadian Council of Ministers of Environment (CCME) for off-line indexing. The proposed index has demonstrated effective and reliable performance in online indexing a large volume of measurements of water quality parameters. The IoT platform is deployed in the field, and its performance is demonstrated and discussed in this paper.",
keywords = "IoT platform, Quality indexing, Survey planner, Water quality monitoring",
author = "Teng Li and Min Xia and Jiahong Chen and Yuanjie Zhao and {de Silva}, Clarence",
year = "2017",
month = aug,
day = "1",
doi = "10.3390/s17081735",
language = "English",
volume = "17",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "8",

}

RIS

TY - JOUR

T1 - Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes

AU - Li, Teng

AU - Xia, Min

AU - Chen, Jiahong

AU - Zhao, Yuanjie

AU - de Silva, Clarence

PY - 2017/8/1

Y1 - 2017/8/1

N2 - An Internet of Things (IoT) platform with capabilities of sensing, data processing, and wireless communication has been deployed to support remote aquatic environmental monitoring. In this paper, the design and development of an IoT platform with multiple Mobile Sensor Nodes (MSN) for the spatiotemporal quality evaluation of surface water is presented. A survey planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over the study area and generate paths for MSNs to visit the SLoIs, given the limited energy and time budgets. The SLoIs are chosen based on a cellular decomposition that is composed of uniform hexagonal cells. They are visited by the MSNs along a path ring generated by a planning approach that uses a spanning tree. For quality evaluation, an Online Water Quality Index (OLWQI) is developed to interpret the large quantities of online measurements. The index formulations are modified by a state-of-the-art index, the CCME WQI, which has been developed by the Canadian Council of Ministers of Environment (CCME) for off-line indexing. The proposed index has demonstrated effective and reliable performance in online indexing a large volume of measurements of water quality parameters. The IoT platform is deployed in the field, and its performance is demonstrated and discussed in this paper.

AB - An Internet of Things (IoT) platform with capabilities of sensing, data processing, and wireless communication has been deployed to support remote aquatic environmental monitoring. In this paper, the design and development of an IoT platform with multiple Mobile Sensor Nodes (MSN) for the spatiotemporal quality evaluation of surface water is presented. A survey planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over the study area and generate paths for MSNs to visit the SLoIs, given the limited energy and time budgets. The SLoIs are chosen based on a cellular decomposition that is composed of uniform hexagonal cells. They are visited by the MSNs along a path ring generated by a planning approach that uses a spanning tree. For quality evaluation, an Online Water Quality Index (OLWQI) is developed to interpret the large quantities of online measurements. The index formulations are modified by a state-of-the-art index, the CCME WQI, which has been developed by the Canadian Council of Ministers of Environment (CCME) for off-line indexing. The proposed index has demonstrated effective and reliable performance in online indexing a large volume of measurements of water quality parameters. The IoT platform is deployed in the field, and its performance is demonstrated and discussed in this paper.

KW - IoT platform

KW - Quality indexing

KW - Survey planner

KW - Water quality monitoring

U2 - 10.3390/s17081735

DO - 10.3390/s17081735

M3 - Journal article

AN - SCOPUS:85026674970

VL - 17

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

SN - 1424-8220

IS - 8

M1 - 1735

ER -