Optimizing Resource Allocation in IoT for Improved Inventory Management DOI Creative Commons

Arti Kotru,

Isha Batra

International Journal of Computing and Digital Systems, Journal Year: 2024, Volume and Issue: 15(1), P. 685 - 704

Published: May 8, 2024

Effective inventory management is crucial for businesses to minimize costs and maximize operational efficiency.This paper explored the optimization of resource allocation on Internet Things (IoT) improved developed an system using IoT Wireless Sensor Network (WSN) optimize allocation.In this paper, dataset that taken into consideration primary dataset, which collected from different locations with help WSN, temperature, humidity, stock mapping place where data allocated.Further, preprocessing done, then split as training testing data.Machine learning models, i.e., decision tree, random forest, regression model, ensemble model (combination model), are applied classify train data.The novelty research establishing employing combining machine models optimization, outperforming traditional approaches.The result metrics such Root Squared Mean Error (RMSE), Absolute (MAE), (MSE), Accuracy evaluate performance model.Experimental results obtained values RMSE, MAE, MSE 0.25, 0.0625, 0.625, respectively.Also, overall accuracy proposed would be 93.75%.The comparative analysis shows outperformed existing conventional in terms accuracy.

Language: Английский

A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things DOI Creative Commons
Seyed Salar Sefati, Asim Ul Haq,

Nidhi Nidhi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 113741 - 113784

Published: Jan. 1, 2024

Language: Английский

Citations

6
Application of Willow Catkin Optimization Algorithm for Wireless Sensor Network DOI
Shu‐Chuan Chu,

Buyue Guo,

Bing Sun

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 232 - 241

Published: Jan. 1, 2025

Language: Английский

Citations

0
SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management DOI
Ali. M. A. Ibrahim, Zhigang Chen, Yijie Wang

et al.

Computer Communications, Journal Year: 2025, Volume and Issue: unknown, P. 108128 - 108128

Published: March 1, 2025

Language: Английский

Citations

0
Optimizing Resource Allocation in IoT for Improved Inventory Management DOI Creative Commons

Arti Kotru,

Isha Batra

International Journal of Computing and Digital Systems, Journal Year: 2024, Volume and Issue: 15(1), P. 685 - 704

Published: May 8, 2024

Effective inventory management is crucial for businesses to minimize costs and maximize operational efficiency.This paper explored the optimization of resource allocation on Internet Things (IoT) improved developed an system using IoT Wireless Sensor Network (WSN) optimize allocation.In this paper, dataset that taken into consideration primary dataset, which collected from different locations with help WSN, temperature, humidity, stock mapping place where data allocated.Further, preprocessing done, then split as training testing data.Machine learning models, i.e., decision tree, random forest, regression model, ensemble model (combination model), are applied classify train data.The novelty research establishing employing combining machine models optimization, outperforming traditional approaches.The result metrics such Root Squared Mean Error (RMSE), Absolute (MAE), (MSE), Accuracy evaluate performance model.Experimental results obtained values RMSE, MAE, MSE 0.25, 0.0625, 0.625, respectively.Also, overall accuracy proposed would be 93.75%.The comparative analysis shows outperformed existing conventional in terms accuracy.

Language: Английский

Citations

0