IoT Based Atmosphere Monitoring System using Hadoop Map Reduce Paradigm
K. Purushotam Naidu1, P. Krishna Subba Rao2, MHM Krishna Prasad3
1Mr K. Purushotam Naidu, Assistant Professor, Department of Computer Science and Engineering, GVP College of Engineering, JNTUK University, (Andhra Pradesh), India.
2Prof. Dr. Pulugurta Krishna Subba Rao, Professor, Department of Computer Science and Engineering and Head of the Department, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, (Andhra Pradesh), India.
3Dr Munaga HM Krishna Prasad, Professor, Department of Computer Science and Engineering and Vice-Principal, University College of Engineering Kakinada, JNTUK, (Andhra Pradesh), India.
Manuscript received on January 18, 2020. | Revised Manuscript received on February 29, 2020. | Manuscript published on February 29, 2020. | PP: 4199-4204 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6074029320/2020©BEIESP | DOI: 10.35940/ijeat.C6074.029320
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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: In today’s world there are a host of serious environmental problems, and air pollution is one of the top causes of many chronic respiratory diseases with accelerated aging of lungs and possibly cancer. Air pollution is the most widespread pollution which is inevitable, since air being an ever pervading medium and carrier, which can transfer the pollutants very fast in no time. It is generally caused due to pollutants like carbon dioxide, carbon monoxide, nitrogen oxides, sulfur dioxide that are released especially when fuels are burnt. This paper aims at designing an Internet of Things (IoT) based atmosphere monitoring system using Hadoop ecosystem. Internet of things (IoT) provides a platform that allows devices to be connected, sensed and be controlled remotely across a network infrastructure. Hadoop is an open source framework which is used to store and process large amount of data using commodity hardware. The key feature of this paper is to measure the level of air contaminants, temperature in the atmosphere using sensors, and also store the sensor data into the cloud server that is Adafruit. Thereby, we redirect the data into Hadoop Distributed File System (HDFS) and process the sensor data to list out the areas with highest pollution level and temperature.
Keywords: Lot, Sensors, Hadoop, HDFS, Adafrui.