Sensor Data Collection and Its Architecture with Internet of Things
RR Karthikeyan1, B Raghu2
1RR Karthikeyan, Research-Scholar, Bharath University, Chennai, Tamil Nadu, India.
2Dr. B Raghu, Principal, SVS Groups of Institutions, Warangal, Telangana, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2056-2060 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9564109119/2019©BEIESP | DOI: 10.35940/ijeat.A9564.109119
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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: -Sensors are gadgets, which can screen temperature, moistness, weight, commotion levels, setting mindfulness, lighting condition and identify speed, position, and size of an Object. Sensor information are getting accumulated in gigantic amount thus they are overseen utilizing NOSQL. The information will be gathered in an IOT cloud stage where it will be additionally prepared with machine learning methods for prescient examination. What’s more, eventually with the required answer for the business structure will be created. This paper explain the proposed system for IoT data collection with AWS (Amazon Web Service) cloud platform. Various system components like Kinesis stream, M2M platform, Notification service and secured IoT service layout. The complete BMS system architecture is detailed in this paper.
Keywords: Sensors, cloud, IoT (Internet of things), Business intelligence, machine learning. I. INTRO