Smart Solution for Waste Management: A Coherent Framework Based on IoT and Big Data Analytics

Abstract

It is expected that 70% of the world’s population, over six billion people, will live in cities and surrounding regions by 2050. The dearth of the efficient waste management system is one of the major problems of society; there is an ultimate need to address this problem. Waste management is important, mainly because scrapped waste can cause health, safety, economic, and environmental problems. The IoT-based companies and government are taking up new inventive steps for better waste management. In this paper, we propose an efficient framework for smart waste management (SWM) based on IoT using Big Data Analytics. The proposed framework involves several steps that start with the data generated from IoT-based smart dustbins, aggregation and cleaning of the data, and generation of an optimized schedule for waste collection based on the sensor data. The proposed system will be implemented using Hadoop framework and IBM InfoSphere Streams. In the Indian context, most researchers and industries are working with IoT-based smart trash bins, but this full-featured system does not exist. Since the huge volume of data will be generated from the sensors, handling these data with traditional techniques will not be efficient and Big Data Analytics is essential in this context. Hence, the proposed system will be more scalable and efficient.