Smart City Waste Management through ICT and IoT driven Solution

Authors

  • Dipak S. Gade Post Doctoral Research Scholar, Department of Computer Science and Engineering, Srinivas University, Mangalore, India
  • Aithal P. S. Vice Chancellor, Srinivas University, Karnataka, India

DOI:

https://doi.org/10.47992/IJAEML.2581.7000.0092

Keywords:

Solid Waste Management, Smart Waste Bin, IoT, Sensor Fusion, Image Processing, Data Analytics

Abstract

The growing population and mass relocation of citizens from urban and semi-urban areas to Smart Cities have resulted in exponential growth in Smart Cities and thereby certain challenges. One of the major challenges Smart Cities are facing is to control, manage and process waste generation on daily basis. Waste collection and processing at a wider scale is not an easy job. Growing population and resource constraints in waste management activities are the primary reasons which have made waste management a tough job. To deal with this challenging process, Smart Cities uses Smart Waste Management System. This paper has provided an overview of a typical Smart Waste Management system and a review of selected research papers on Smart Waste Management. We tried to identify areas of improvement with the existing Smart Waste Management Solutions and proposed an innovative solution called "iSmartWMS" for carrying out waste management specifically for Smart Cities. The paper has discussed in detail the architecture and building blocks of the proposed Smart Waste Management System, along with the details of software tools, sensors, and technologies proposed in iSmartWMS. The Paper has finally discussed results with respect to prototype implementation of iSmartWMS and also future plans to further improve the iSmartWMS smart waste management system.    

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Published

2021-05-06

How to Cite

Dipak S. Gade, & Aithal P. S. (2021). Smart City Waste Management through ICT and IoT driven Solution. International Journal of Applied Engineering and Management Letters (IJAEML), 5(1), 51–65. https://doi.org/10.47992/IJAEML.2581.7000.0092

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