Development of Internet of Thing (IoT) Technology for flood Prediction and Early Warning System (EWS)
Nur-adib Maspo1, Aizul Nahar Harun2, Masafumi Goto3, Mohd Nasrun Mohd Nawi4, Nuzul Azam Haron5

1Nur-adib Maspo, Department of Environmental Engineering and Green Technology, Malaysia Japan International Institute of Technology, University Technology Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, Malaysia.

2Aizul Nahar Harun, Department of Management of Technology, Malaysia Japan International Institute of Technology, University Technology Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, Malaysia.

3Masafumi Goto, Department of Environmental Engineering and Green Technology, Malaysia Japan International Institute of Technology, University Technology Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, Malaysia.

4Mohd Nasrun Mohd Nawi, School of Technology Management and Logistic, University Utara Malaysia, Sintok, Kedah, Malaysia.

5Nuzul Azam Haron, Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Selangor, Malaysia.

Manuscript received on 01 February 2019 | Revised Manuscript received on 07 February 2019 | Manuscript Published on 13 February 2019 | PP: 219-228 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2864028419/2019©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Flood is the most significant disaster happened in almost every part of the world. When the event occurred, it causes great losses in economic and human life. Implementation of the advancement of ICT brings significant contribution to reduce the impact of flood toward the people and properties. This paper attempts to investigate the capability of internet of things (IoT) technology in reducing the impact of natural disaster specifically in flood disaster scenario. First, the concept of Internet of Things (IoT), key technologies and its architecture are discussed. Second, related research work on IoT in disaster context will be discussed. Third, further discussion on the propose Internet of Things (IoT) architecture and key components in the development of flood prediction and early warning system. The smart sensors will be placed at river basin for real-time data collection on flood related parameter such as rainfall, river flaw, water level, temperature, wind direction and so on. The data will be transmitted to data centre via wireless communication technology which will be processed and measured on the cloud service, then the alert information will be sent users via smart phone. Thus, early warning message is received by the people in terms of location, time and other parameters relate to flood.

Keywords: Flood Prediction, Flood Disaster, Early Warning System, Internet of Things (IoT), Wireless Sensor Network.
Scope of the Article: Computational Techniques in Civil Engineering