inis 18(16): e5

Research Article

Natural Disaster and Environmental Monitoring System for Smart Cities: Design and Installation Insights

Download1635 downloads
  • @ARTICLE{10.4108/eai.29-11-2018.156001,
        author={Nguyen-Son Vo and Antonino Masaracchia and Long D. Nguyen and Ba-Cuong Huynh},
        title={Natural Disaster and Environmental Monitoring System for Smart Cities: Design and Installation Insights},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={5},
        number={16},
        publisher={EAI},
        journal_a={INIS},
        year={2018},
        month={11},
        keywords={Climate change, natural disaster and environmental management, smart city, wireless monitoring system, wireless sensor network},
        doi={10.4108/eai.29-11-2018.156001}
    }
    
  • Nguyen-Son Vo
    Antonino Masaracchia
    Long D. Nguyen
    Ba-Cuong Huynh
    Year: 2018
    Natural Disaster and Environmental Monitoring System for Smart Cities: Design and Installation Insights
    INIS
    EAI
    DOI: 10.4108/eai.29-11-2018.156001
Nguyen-Son Vo1,*, Antonino Masaracchia2, Long D. Nguyen2, Ba-Cuong Huynh3
  • 1: Institute of Fundamental and Applied Sciences (IFAS), Duy Tan University, Ho Chi Minh City 700000, Vietnam
  • 2: Institute of Electronics, Communications and Information Technology (ECIT), Queen’s University Belfast, BT3 9DT, Belfast, U.K
  • 3: Faculty of Electrical & Electronics Engineering (FEEE), Duy Tan University, Danang 550000, Vietnam
*Contact email: vonguyenson@dtu.edu.vn

Abstract

Climate change is mainly caused by human activities. Consequently, natural disasters such as flooding, storm, and drought are attacking people at high frequency and extreme damage. Besides, many megacities have been facing the rapid urbanization problem of carbon emission, noise, dust, and temperature that seriously impacts on the living conditions of people. In this paper, we design and implement a monitoring system for early detecting and warning the natural disasters and the environmental threats of the rapid urbanization in Quang Nam and Da Nang provinces in the Central Vietnam. The system will sense, communicate, store, process, and display the important information including precipitation, wind speed and direction, water level, and landslide/earthquake in Quang Nam and CO2 emission, temperature, dust, and noise in Da Nang. The experimental results can help the local government and citizens with better management of natural disasters and environmental threats for smart cities.