@article{scholars16023,
            year = {2021},
       publisher = {Springer},
         journal = {Smart Innovation, Systems and Technologies},
           pages = {99--113},
          volume = {176},
            note = {cited By 4; Conference of 2nd International Conference on Sensor Networks and Signal Processing, SNSP 2019 ; Conference Date: 19 November 2019 Through 22 November 2019; Conference Code:242579},
             doi = {10.1007/978-981-15-4917-5{$_8$}},
           title = {Remote monitoring of river water pollution using multiple sensor system of wsns and iot},
          author = {Kadir, E. A. and Irie, H. and Rosa, S. L. and Saad, B. and Rahim, S. K. A. and Othman, M.},
            issn = {21903018},
            isbn = {9789811549168},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089218593&doi=10.1007\%2f978-981-15-4917-5\%5f8&partnerID=40&md5=ec5c2a15965c0ff618ab397a2a9b4b99},
        keywords = {Biochemical oxygen demand; Data Sharing; Dissolved oxygen; Internet of things; Oil spills; Pollution detection; Rivers; Sensor nodes; Signal processing; Spreadsheets, Design and Development; Electrical conductivity; Internet of thing (IOT); Multiple sensor systems; Multiple sensors; Remote monitoring; River water pollutions; Wireless sensor network (WSNs), River pollution},
        abstract = {Rivers are commonly found in the tropical regions because of high rain intensity. Many people and communities like to live along the riverside since decades ago. Rivers play a significant role in communities for transportation and daily activities. This research was aimed to design and develop a system with multiple sensors to monitor river water pollution because most of the community members use river water in their daily activities. In this design and development of system, wireless sensor networks (WSNs) were applied because of many advantages that can be enjoyed. Multiple sensor nodes were installed for the detection of water pollution parameters such as temperature, electrical conductivity (EC), water pH, and dissolved oxygen (DO). The system was designed to monitor river water pollution parameters and send the information to the data center (backend system). Arduino microcontroller was used to process and filter the data before sending to the backend system. Only valuable information was collected and kept in the database. Results show that the system was able to detect polluted water by showing the parameters of interest in a graph. Based on the analysis, it can be concluded that polluted water indicators were mostly contributed from residence waste and industries. Furthermore, WSN sensors will be deployed in some areas, and the results will be compared to each other. Furthermore, the Internet of things (IoT) technology will be used for data sharing and communication. {\^A}{\copyright} Springer Nature Singapore Pte Ltd 2021.}
}