IoT Monitory System Based Smart Trash Management
R. Krishna Bharathi1, T. Selva Banupriya2, Jeyapriyanga S3
1R.Krishna Bharathi, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2T.Selva Banupriya, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3Jeyapriyanga S, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 13 September 2019 | Revised Manuscript received on 22 September 2019 | Manuscript Published on 10 October 2019 | PP: 195-197 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F10500886S219/19©BEIESP | DOI: 10.35940/ijeat.F1050.0886S219
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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 Internet of Things (IoT), as the anticipated infrastructure for the planned Smart City idea, offers fresh opportunities for city management. IoT vision presents promising and cost-effective alternatives for huge information collection and analysis that can be implemented in many areas, making them more efficient to operate. In this paper, we discuss one of Smart City’s most difficult problems-municipal waste collections. We use our own genetic algorithm application to optimize the waste collection logistics process. The solution submitted offers calculation of more effective paths for garbage trucks. As an output, we provide a set of specified area-focused simulations.
Keywords: Raspberry Pi, IoT, Smart Trash Bins, Sensors, Garbage.
Scope of the Article: IoT