Smart City for Future: Design of Data Acquisition Method using Threshold Concept Technique
Deepak NR1, Thanuja N2
1Deepak NR*, Professor, Department of Computer Science & Engineering, HKBK College of Engineering, Bangalore (Karnataka), India,
2Thanuja N, Asst. Prof., Department of Computer Science & Engineering, Bangalore Institute of Technology, (VTU), Bangalore (Karnataka), India.
Manuscript received on October 04, 2021. | Revised Manuscript received on October 25, 2021. | Manuscript published on October 30, 2021. | PP: 251-256 | Volume-11 Issue-1, October 2021. | Retrieval Number: 100.1/ijeat.A31871011121 | DOI: 10.35940/ijeat.A3187.1011121
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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: The massive deployment of Internet of Things (IoT) is allowing Smart City projects and initiatives all over the world. Whereas IOT deals with intricate systems that integrates multiple disperse components towards their synergetic use. Due to resource constraints, there will be a problem in the future to provide all the services to the residents. To continue to serve and improve the standard of living of the growing population, it is necessary to develop smart cities. The Smart City aims to make optimal and sustainable use of all resources, while maintaining an appropriate balance between social, environmental and economic costs. The wireless sensors are attached to street lamp, water tank, dustbin. Sensors are then attached to Arduino microcontroller board where each and every necessary parameter for city are monitored and updated to cloud. The cloud is connected with Blynk server in turn which is connected to build in Blynk application of user’s Android phone. The technology we use is IOT in this model a system of interconnected smart modules is developed where each and every parameter necessary for a city is monitored and updated to the cloud. Emphasis is given on how sensing and communication technologies of IOT can effectively be used in smart city monitoring. The project aims at developing a system which facilitates aids in collection of data with the help of interconnected modules consisting of multiple sensors useful for smart city monitoring. Further this project also includes controlling of some parameters like water, light and dust bin.
Keywords: Street lamp, Water tank, Dustbin, Blynk App
Scope of the Article: Data Analytic