Less Human Intervention (Automated) Waste Management System Using IoT for Next Gen Urbanization

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Author(s): M. Kavitha Margret (Sri Krishna College of Technology, India)and D. Vijayanandh (Hindusthan College of Engineering and Technology, India)
Copyright: 2019
Pages: 16
Source title: Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities
Source Author(s)/Editor(s): Krishnan Saravanan (Anna University Chennai – Regional Office Tirunelveli, India), Golden Julie (Anna University, India)and Harold Robinson (SCAD College of Engineering and Technology, India)
DOI: 10.4018/978-1-5225-9199-3.ch020

Keywords: Civil Engineering / Computer Science & IT / Engineering Science Reference / Web Technologies & Engineering

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Abstract

Next generation waste management in urbanization is the real and unpredictable challenge in the modern era. Government of modern city will face big challenges in handling and decomposing of waste. Suggestions were given by the researchers about handling of waste management with IoT-enabled devices. Smart bins were introduced that will focus on the capacity and type of the waste collected from different stakeholders, industries, and citizens. Smart bins were monitored by the municipality periodically. Government will focus on less human interventional (automated) waste management system that will lead to happy living of citizens in the nation. Due to tremendous growth of industry in cities, people migrated from village to cities. Handling this population and cleanliness of city is a very big focus of the government. Authors propose less human interventional (automated) waste management system for the next generation urbanization using smart IoT-enabled devices. Authors propose standard architecture model for tracking of smart bins in various region using self-efficient organization of wireless sensor networks (WSN) and grouping of those sensors in case of any malfunctioning or damage of sensors. Handling of large volume of data, cost of the underlying network topology, merging of devices, and speed of the data connectivity are focused to reduce human interventional waste management system that will organize the sensor group wisely. With the above architecture, the dream of smart city will come true in the future.

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Less Human Intervention (Automated) Waste Management System Using IoT for Next Gen Urbanization

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