Role of IoT devices in Flood Monitoring System using Social Networking Sites
Himanshu Rai Goyal1, Kamal Kumar Ghanshala2, Sachin Sharma3
1Himanshu Rai Goyal, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
2Kamal Kumar Ghanshala, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
3Sachin Sharma, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1986-1994 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1620029420/2020©BEIESP | DOI: 10.35940/ijitee.D1620.029420
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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: Each country has a natural disaster, but catastrophe losses can’t be avoided. The loss of human life, damage to the environment, infrastructure degradation, etc. Which in turn affects the country’s development facing the disaster’s wrath? In this analysis, we discuss the various methods available in the literature to reduce the losses in flood-related natural disasters. There are four major steps in the prevention of disaster losses, including preparedness, response, recovery and mitigation. Existing methods that address the above steps and all the current methods have certain limitations and are therefore not all sufficient to minimize losses due to flooding. In order to overcome all the deficiencies in the exit method, we propose an IoT devices based algorithm to get the number of victims and survivors due to flood and reduce the flood losses model using social networking sites.
Keywords: Natural Disaster, Floods, Social Networking Sites, Community, Statistical Data, IoT.
Scope of the Article: Disaster Management