A Review on AWS IoT for Automation and Monitoring STP System

Authors

  • Manjusha Y  MTech Scholar, Department of Computer Science, KLS Gogte Institute of Technology, Belagavi, Karnataka, India
  • Prof. Sharada Kori  Professor Department of Computer Science, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRSET207338

Keywords:

IOT, Aws-IoT, Node-Red, Sewage Treatment Plant, Stp, Monitoring, Automation

Abstract

In this paper, cloud-based services aimed for the connectivity, monitoring, and management of the IoT devices are presented. To set up a network with a large number of devices in the constrained environment can be a challenge. Also, collecting, storing and analyzing data generated from sensors attached to the devices most often requires developing custom-made applications which imply time and cost consumption. Several cloud providers are offering IoT services that unite needed features into full solution offering connectivity between devices and the cloud, processing of data sent from devices and interaction with connected devices through the application. One of them is AWS IoT (Amazon Internet of Things) which is fully scalable, reliable and simple to use. This platform can collect data from a large number of different devices and connect them to endpoints for other tools, allowing a developer to tie received data into the independent application. Other aspects, like security, resource management, integration and centralized management are also covered. In this paper, we will evaluate the performance of the AWS IoT web services by connecting small, single board computers, like Raspberry Pi through different scenarios.

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Manjusha Y, Prof. Sharada Kori "A Review on AWS IoT for Automation and Monitoring STP System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.246-249, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET207338