Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Designing an Intelligent System for Garbage Management in Residential Districts Using IoT

Author : Marwan S. M. Al-Dabbagh, Senan A. M. Alhasan, Ali Hassan Hussein

Date of Publication :25th July 2024

Abstract:Nowadays, solid waste is a significant environmental problem that has a significant impact on the health and well-being of society. There is currently a lack of infrastructure and inadequate management involved in the current garbage collection process, which does not utilize the latest technology for real-time disposal of waste. This issue may be solved by promoting a sustainable and clean environment through the use of Internet of Things (IoT) technologies. In this article, we will use Zigbee technology and environmental sensors to build and construct an efficient smart system. The suggested framework senses and gathers data from each bin, tracks the position of the bins, and detects the discharge of hazardous gasses to monitor the amount of waste in the bins. The gathered data is transmitted using Zigbee technology from the waste bin on the transmitter side of the system to the control unit on the server side. Additionally, the suggested study analyzes the power consumption and packet delivery ratio of two wireless transmitting technologies, namely Wi-Fi and ZigBee. A comparison of Zigbee and Bluetooth network performance Moreover, the proposed paper provides an analysis of the packet delivery ratio and power consumption of two wireless transmitting technology including ZigBee and Wi-Fi. A comparison of the network performance using Zigbee and Wi-Fi technology has demonstrated that Zigbee technology provides better performance in terms of the suggested metrics.

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