Abstract
Natural disaster in India has become a great challenge in the recent years. Each year the rates have been escalating affecting both the social as well as economic progress of the country. India’s topographic/climatic and socio-economic features make the country most vulnerable to the devastating effects of such calamities. Hence, it is the need of the hour to come with a system capable of long term as well as quick prediction of disaster. This can be useful for early preparedness and developing well-planned mitigation/relief system which can reduce the effects of such disaster and can be also useful in channelizing the finding in a right way during calamities. The proposed system consists of modules for prediction of: Weather pattern, flood, earthquake, landslide, fire and gas leakage. The sensor node deployed at various disaster-prone areas transmits sensor data to a local aggregator that pre-process the data and relays to remote monitoring servers. The remote monitoring platform has algorithms for prediction of disaster as well as suggestions for quick response. Hence, the possibility of disaster can be predicted prior to the onset of these calamities.
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Acknowledgements
We express our deep gratitude to our beloved Chancellor and world-renowned humanitarian leader Shri. (Dr) Mata Amritanandamayi Devi (AMMA), for inspiration and motivation. We would like to thank the staff and faculty members of the department for providing immense support and suggestions to improve this paper.
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Menon, V., Arjun Rathya, R., Prasad, A., Gopinath, A., Sai Shibu, N.B., Gayathri, G. (2021). Exploring IoT-Enabled Multi-Hazard Warning System for Disaster-Prone Areas. In: Thampi, S.M., Gelenbe, E., Atiquzzaman, M., Chaudhary, V., Li, KC. (eds) Advances in Computing and Network Communications. Lecture Notes in Electrical Engineering, vol 735. Springer, Singapore. https://doi.org/10.1007/978-981-33-6977-1_31
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DOI: https://doi.org/10.1007/978-981-33-6977-1_31
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