• MOHAMMED JUNED
• Durgesh Kanougiya
• Shahrukh Mirza
• Kundan Bhalerao
• Suraj Gorule ,Nayna Dahatonde, Dr.Anupam Chaudhary

Early warning system are becoming one of the main pillars of disaster prevention in natural hazards especially where mitigation strategies are not realizable. Therefore, the call for multi-hazard early warning system and improvement of monitoring of natural hazard is steadily growing. However, data gathering through sensor integration as well as system independent supply of information from early warning networks are particular challenge. Because very complex information and warning chains have to be served for, standardization and interoperability plays an important role for all organizations and infrastructures being involved. The SLEWS project investigates the complete information chain, starting from data gathering using wireless sensor networks via information processing and analysis to information retrieval.

Natural hazard , sensor network

"Landslide Early Warning System Using IoT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.a39-a44, May-2022, Available :http://www.jetir.org/papers/JETIR2205002.pdf

"Landslide Early Warning System Using IoT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppa39-a44, May-2022, Available at : http://www.jetir.org/papers/JETIR2205002.pdf