Optimizing Wireless Sensor Networks in E-Commerce with Message Passing Neural Networks
In today's e-commerce landscape, successful logistics management is essential for achieving success. In this post, we will go over how wireless sensor networks (WSNs) can help online stores streamline their logistics. Data collection and real-time monitoring made possible by wireless sensor networks (WSNs) increase supply chain visibility and control. The proposed approach includes both preprocessing and training the model. Part of the preprocessing phase is principal component analysis (PCA), which entails cleaning and transforming raw data into an appropriate format for analysis or model training. Throughout the training, CNN-BiGRU-BiLSTM was continuously utilized. With a 93.46% average accuracy, this innovative method surpasses the BiGRU and BiLSTM.
Authors
- M. Jeyaselvi
- Amanjot Kaur Lamba (ORCID: https://orcid.org/0000-0003-1978-8283)
- D. Suganthi
- B. C. Saravanan
- M Ganesha
- M. Boobalan
Institutions
- SRM Institute of Science and Technology (IN)
- Swami Vivekanand College of Pharmacy (IN)
- Sri Eshwar College of Engineering
- Saveetha University (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/gccit63234.2024.10862228
- Citations
- 1
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.35