Analysis of Visible Light Communication using Integrated Avalanche Photodiode
Volume-4 | Issue-2
A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
Volume-3 | Issue-3
TOWARDS GHZ METALLIC ACCESS NETWORKS
Volume-1 | Issue-1
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Process Control Ladder Logic Trouble Shooting Techniques Fundamentals
Volume-1 | Issue-4
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
Volume-1 | Issue-4
ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
Volume-1 | Issue-3
Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
Volume-2 | Issue-3
Modified Gray Wolf Feature Selection and Machine Learning Classification for Wireless Sensor Network Intrusion Detection
Volume-3 | Issue-2
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
Volume-3 | Issue-3
Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 5 | Issue - 1 | march 2023
Published
09 May, 2023
The Internet of Things (IoT) paradigm, which analyses and controls city processes in real-time, serves essential for enhancing applications relevant to smart cities. Solid waste management, which has an adverse impact on both the environment and the overall wellness of the society, is one of the most vital issues connected to smart city applications. Waste produced by city inhabitants and disposed into the garbage cans is where the traditional waste management process starts. On an assigned schedule, trucks from the municipal department collect and transport the discards to the recycling facilities. Outdoor dumpsters receive little attention by municipalities and garbage management firms, making it difficult to know when to clean them or when they are filled. In order to get beyond the drawbacks of conventional waste management systems, this work proposes an IoT-enabled solid waste management approach for smart cities. The proposed layout includes a LoRaWAN gateway, a sensor-enabled anti-littering system, and a bin monitoring system with a GPS module, which are used to track bins in public and residential regions. This approach infers the location and the level of the garbage can, processes the information, and sends it to a central monitoring station for storage and analysis. The garbage collection authority may observe and assess the unfilled status of each trash can, due to an evident Graphical User Interface. Numerous data have been gathered to validate the suggested system architecture, and direct visits to the dump yards have been made in order to analyse the current scenario. As a result of the proposed smart waste management solution using IoT, the life expectancy of living things is said to increase, and this will be clearly visible.
KeywordsInternet of Things Solid Waste Management Arduino UNO Artificial Intelligence GPS Module
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