A Flood Monitoring System Using Internet of Things
Keywords:
Arduino, Controller, Dam & Gates, Internet of things (IoT), SensorsAbstract
Internet of things (IoT) has wide applications; one of which is flood monitoring and coordinating. Impera tiveness sensibility methodologies can be reproduced in IoT, which can alleviate both essentialness draining and human un dertakings legitimate to complete the obligation. In India, there are no vigilant techniques for the opening of dam gates or when there is huge probabilities arise in floods. The exist ing procedure in India is physical which one of the major is sues is. Because of the unexpected lifting of gates of the dam villages surrounding that area are extremely influenced and cause to death of the public. This impact on the survival of the public at many times. The suggested system is a defined as the process that can be installed in the dam's catchment re gions and will serve as a watchful module that will alert the public to the condition of the dam's gates and even the water level at the dam's gates. The proposed system consists of Dam storage information, Temperature levels & Humidity levels and SMS vigilant module, public information system. A web application is designed for efficient utilization of the proposed system which will indicate the position of gates all over the dams in India.
Downloads
References
M. Hasan, M. M. Islam, M. I. I. Zarif, and M. M. A. Ha shem, “Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches,” Internet of Things (Netherlands), 2019.
M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, “A Survey on the Role of IoT in Agriculture for the Imple mentation of Smart Farming,” IEEE Access. 2019.
H. Mrabet, S. Belguith, A. Alhomoud, and A. Jemai, “A survey of IoT security based on a layered architecture of sensing and data analysis,” Sensors (Switzerland). 2020.
A. Panarello, N. Tapas, G. Merlino, F. Longo, and A. Pu liafito, “Blockchain and iot integration: A systematic sur vey,” Sensors (Switzerland). 2018.
A. R. H. Hussein, “Internet of Things (IOT): Research chal lenges and future applications,” Int. J. Adv. Comput. Sci. Appl., 2019.
A. Reyna, C. Martín, J. Chen, E. Soler, and M. Díaz, “On blockchain and its integration with IoT. Challenges and op portunities,” Futur. Gener. Comput. Syst., 2018.
J. Hou and B. Li, “The evolutionary game for collaborative innovation of the IoT industry under government leadership in China: An IoT infrastructure perspective,” Sustain., 2020.
S. M. Tahsien, H. Karimipour, and P. Spachos, “Machine learning based solutions for security of Internet of Things (IoT): A survey,” J. Netw. Comput. Appl., 2020.
E. Al-Masri et al., “Investigating Messaging Protocols for the Internet of Things (IoT),” IEEE Access, 2020.
B. Afzal, M. Umair, G. Asadullah Shah, and E. Ahmed, “Enabling IoT platforms for social IoT applications: Vision, feature mapping, and challenges,” Futur. Gener. Comput. Syst., 2019.
O. Alfandi, S. Khanji, L. Ahmad, and A. Khattak, “A survey on boosting IoT security and privacy through blockchain: Exploration, requirements, and open issues,” Cluster Com put., 2021.
A. Khraisat and A. Alazab, “A critical review of intrusion detection systems in the internet of things: techniques, de ployment strategy, validation strategy, attacks, public da tasets and challenges,” Cybersecurity, 2021.
M. S. Farooq, S. Riaz, A. Abid, T. Umer, and Y. Bin Zikria, “Role of iot technology in agriculture: A systematic litera ture review,” Electronics (Switzerland). 2020.
J. C. S. Sicato, S. K. Singh, S. Rathore, and J. H. Park, “A comprehensive analyses of intrusion detection system for IoT environment,” J. Inf. Process. Syst., 2020.
Y. Lu and L. Da Xu, “Internet of things (IoT) cybersecurity research: A review of current research topics,” IEEE Inter net Things J., 2019.
M. Noura, M. Atiquzzaman, and M. Gaedke, “Interopera bility in Internet of Things: Taxonomies and Open Chal lenges,” Mob. Networks Appl., 2019.
L. Vu, Q. U. Nguyen, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz, “Deep Transfer Learning for IoT Attack Detec tion,” IEEE Access, 2020.
T. Elsaleh, S. Enshaeifar, R. Rezvani, S. T. Acton, V. Janeiko, and M. Bermudez-Edo, “IoT-Stream: A Light weight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services,” Sensors, 2020.
W. Rafique, L. Qi, I. Yaqoob, M. Imran, R. U. Rasool, and W. Dou, “Complementing IoT Services through Software Defined Networking and Edge Computing: A Comprehen sive Survey,” IEEE Commun. Surv. Tutorials, 2020.
C. Badii, P. Bellini, A. Difino, and P. Nesi, “Smart city IoT platform respecting GDPR privacy and security aspects,” IEEE Access, 2020.
B. Qian et al., “Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey,” ACM Comput. Surv., 2020.
S. Li, L. Da Xu, and S. Zhao, “5G Internet of Things: A survey,” Journal of Industrial Information Integration. 2018.
S. B. Rane and S. V. Thakker, “Green procurement process model based on blockchain–IoT integrated architecture for a sustainable business,” Manag. Environ. Qual. An Int. J., 2020.
R. Vishwakarma and A. K. Jain, “A survey of DDoS attack ing techniques and defence mechanisms in the IoT net work,” Telecommunication Systems. 2020.
B. El Khalyly, A. Belangour, M. Banane, and A. Erraissi, “A comparative study of microservices-based IoT plat forms,” Int. J. Adv. Comput. Sci. Appl., 2020.