An Intelligent Solid Waste Management System using Internet of Things (IoT)
Pramod Mathew Jacob1, Rasha Kabeer2, Negha Nair3, Sony V Saji4, Meenakshi5, Renju Rachel Varghese6
1Pramod Mathew Jacob, Assistant Professor, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
2Rasha Kabeer, UG Scholar, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
3Negha Nair, UG Scholar, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
4Sony V Saji, UG Scholar, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
5Meenakshi, UG Scholar, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
6Renju Rachel Varghese, Assistant Professor, Department of Computer Science & Engineering, Providence College of Engineering, Chengannur (Kerala), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 27 August 2019 | PP: 120-125 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10210782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1021.0782S419
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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: Waste Management is one of the hectic and troublesome tasks which require much man power. The traditional waste management system is time consuming and not cost effective. In this scenario, we are designing an intelligent system for solid waste management using Internet of Things. Our proposed system consists of an intelligent smart bin and a mobile application. The smart bin consists of a unique identifier (RFID tag) and an ultra-sonic sensor to determine the waste level of the bin. The mobile application is intended for two user categories: Normal user and Garbage collector. The normal user can locate the nearby dustbins whereas the garbage collector can remotely assess the bin level. When the bin is full, an alert message is sent to the garbage collector and also displays the shortest route to the bin location. It uses genetic algorithm for finding the optimized path from the user to smart bin. The entire connected components and communication is managed by a central coordinator. Our implementation and evaluation results claims that this model can be used as an alternative for the traditional waste management system. This system also ensures cost effectiveness and less time consumption.
Keywords: Internet of Things (IoT), Smart Waste Management, Android Application, Smart Bin.
Scope of the Article: Internet of Things