IOT BASED AIR QUALITY MONITORING USING DENSENET IN URBAN AREAS
Journal Title: International Journal of Data Science and Artificial Intelligence - Year 2024, Vol 2, Issue 04
Abstract
– Internet of Things is being used more and more in the control and monitoring of air quality. Real-time data regarding air pollutants and other environmental parameters can be gathered by deploying IoT devices with sensors and connectivity capabilities. Rapid urbanization and industry cause increasingly serious problems with air quality. A significant challenge in the current air quality monitoring system is its limited spatial coverage and accuracy. In this paper, a novel air quality monitoring using IoT is proposed to monitor the quality of the air efficiently in real time. Sensors are placed in the various traffic system to collect environmental data and processed it in Real Time Data Analytics Module (RTDM). DenseNet is used to predict the quality of air and classified into three classes namely pure, impure, and normal. The efficacy of the proposed technique has been evaluated using assessment actions such as accuracy, time efficiency, precision, F1 score, RMSE, MAPE, and MAE. By the comparison analysis, the proposed technique’s accuracy rate is 10.08%, 17.64%, and 34.34% higher than the existing Ide Air, SMOTEDNN, and ETAPM-AIT techniques respectively.
Authors and Affiliations
M. Devaki, Jeyaraman Sathiamoorthy and M. Usha
Keywords
Related Articles
- EP ID EP744942
- DOI -
- Views 34
- Downloads 0
SAFE-ACID: A NOVEL SECURITY ASSESSMENT FRAMEWORK FOR IOT INTRUSION DETECTION VIA DEEP LEARNING
Internet of Things (IoT) intrusion detection is crucial for ensuring the security of interconnected devices in our digital world. With diverse devices communicating in complex networks, IoT environments face vulnerabilit...
JARROT BUTTERFLY OPTIMIZED FLAMINGO SEARCH ALGORITHM FOR OPTIMAL ROUTING IN WSN
Wireless sensor networks (WSN) are widely used nowadays, particularly for automated event tracking and monitoring. However, certain issues persist as a result of inadequate cluster formation and CH selection methods, suc...
INDIA-NET: IOT INTRUSION DETECTION VIA ENHANCED TRANSIENT SEARCH OPTIMIZED ADVANCED DEEP LEARNING TECHNIQUE
The Internet of Things (IoT) has become an increasingly popular study area, with billions of devices deployed globally in recent years. These devices can speak with one another without the need for human involvement beca...
BLOCK CHAIN ENABLED DATA SECURITY USING BLOWFISH ALGORITHM IN SMART GRID NETWORK
Smart Grid provides a reliable and efficient end-toend delivery system. Data on each user's unique electricity consumption is given in real time. It also enables utilities to control and monitor the electrical system in...
CLASSIFICATION OF LIVER CANCER VIA DEEP LEARNING BASED DILATED ATTENTION CONVOLUTIONAL NEURAL NETWORK
Liver cancer occur when normal cells develop aberrant DNA alterations and reproduce uncontrollably. Patients with cirrhosis, hepatitis B or C, or both have an increased risk of developing the progressing stage of cancer....