| Title |
A Management Of Food Supply Chain In Sustainable Smart Cities Using Fire Hawk Optimization |
| ID_Doc |
2494 |
| Authors |
Girirajan B.; Naick B.R.; Al-Jawahry H.M.; Revanasiddappa; Rana Veer Samara Sihman Bharattej R. |
| Year |
2024 |
| Published |
2nd IEEE International Conference on Data Science and Information System, ICDSIS 2024 |
| DOI |
http://dx.doi.org/10.1109/ICDSIS61070.2024.10594587 |
| Abstract |
Nowadays, the urban cities are facing increasing strain due to the swift increase in population inside metropolitan areas. It is anticipated that the centered strategy for smart cities will address both the ecological environment and urban life. The food business is one of major IoT application areas in smart cities. In smart cities, IoT technology aid in the real-time monitoring, analysis, and management of the food business. In this study, an Internet of Things (IoT) based Dynamical Food Chain of Supply for Smart Cities using Dynamic Vehicle Routing (IFSCDVR) using Fire Hawk Optimization (FHO) technique is suggested, which guarantees food quality while also offering intelligent vehicle routing and the ability to identify the reasons for contamination of food. This strategy would increase the effectiveness and precision of the supply chain network with the smallest possible dataset size. The findings demonstrate that the suggested system works better than the current methodologies. The proposed IFSCDVR-FHO achieved overall performance of 91.34% of accuracy, 89.56% of precision, 89.68% of recall and 90.21% of f1. score. © 2024 IEEE. |
| Author Keywords |
Fire hawk optimization; Food supply chain; Internet of Things; vehicle route generator model; vehicle routing model |
