Route Optimization to Manage the Medical Waste in Real-Time
Keywords:
Smart Bin, Improved Bat Optimization, MWCM, IoT, Real-time and Route OptimizationAbstract
Rapid waste creation contributes to the spread of infectious illnesses in the environment. The present rate of population expansion generates an unsanitary environment for a society's citizens in terms of waste output. This paper describes an Internet of Things (IoT) innovation for a smart garbage bin with a real-time monitoring system that incorporates numerous technologies. This study proposes a Medical Waste Collection Management (MWCM) for hospitals and clinics in smart cities through IoT to keep the city clean and monitor waste bins in real-time. An Android application is utilized to provide truck drivers with root mapping navigation directions. As a result, truck drivers have an easier time deciding where to collect medical waste in cities. The MWCM contains real-time statistics about each bin to avoid overpopulation. The purpose of this research is to develop an effective as well as outlay MWCM system that will deliver a clean, healthy, and green environment. Optimization algorithm help in route optimization in garbage collection station occupancy is maintained under control, and vehicle fuel economy and carbon emissions are reduced. Furthermore, the proposed system supports several of the sustainable development objectives to find the optimal solution. The proposed system decreases costs and saves time and labor work.
Downloads
References
Wang, H., Zheng, L., Xue, Q., & Li, X. (2022). Research on medical waste supervision model and implementation method based on blockchain. Security and Communication Networks, 2022.
Wawale, S. G., Shabaz, M., Mehbodniya, A., Soni, M., Deb, N., Elashiri, M. A., ... & Naved, M. (2022). Biomedical Waste Management Using IoT Tracked and Fuzzy Classified Integrated Technique. Human-Centric Computing And Information Sciences, 12.
Le, H. T., Quoc, K. L., Nguyen, T. A., Dang, K. T., Vo, H. K., Luong, H. H., ... & Duong-Trung, N. (2022). Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management by Blockchain Technology. Computers, 11(7), 113.
Torkayesh, A. E., Deveci, M., Torkayesh, S. E., & Tirkolaee, E. B. (2021). Analyzing failures in adoption of smart technologies for medical waste management systems: A type-2 neutrosophic-based approach. Environmental Science and Pollution Research, 1-14.
Kumar, N. M., Mohammed, M. A., Abdulkareem, K. H., Damasevicius, R., Mostafa, S. A., Maashi, M. S., & Chopra, S. S. (2021). Artificial intelligence-based solution for sorting COVID related medical waste streams and supporting data-driven decisions for smart circular economy practice. Process Safety and Environmental Protection, 152, 482-494.
Boudanga, Z., Benhadou, S., & Leroy, J. P. (2021). IoT-and XAI-based smart medical waste management. In Explainable Artificial Intelligence for Smart Cities (pp. 31-46). CRC Press.
Rahayu, P., Rohajawati, S., Fairus, S., Saragih, H., & Akbar, H. (2021, March). Challenges and Recommendation of the Information Technologies Application in Hazardous Medical Waste Management amidst Pandemic Covid-19. In Journal of Physics: Conference Series (Vol. 1844, No. 1, p. 012029). IOP Publishing.
Mangindaan, D., Adib, A., Febrianta, H., & Hutabarat, D. J. C. (2022). Systematic Literature Review and Bibliometric Study of Waste Management in Indonesia in the COVID-19 Pandemic Era. Sustainability, 14(5), 2556.
Babaee Tirkolaee, E., & Aydın, N. S. (2021). A sustainable medical waste collection and transportation model for pandemics. Waste Management & Research, 39(1_suppl), 34-44.
Kassou, M., Bourekkadi, S., Khoulji, S., Slimani, K., Chikri, H., & Kerkeb, M. L. (2021). Blockchain-based medical and water waste management conception. In E3S web of conferences (Vol. 234, p. 00070). EDP Sciences.
Wang, C., Ma, Y., & Zhong, G. (2021, July). IOT Monitoring System of Medical Waste Based on Artificial Intelligence. In 2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC) (pp. 139-143). IEEE.
Salehi-Amiri, A., Akbapour, N., Hajiaghaei-Keshteli, M., Gajpal, Y., & Jabbarzadeh, A. (2022). Designing an effective two-stage, sustainable, and IoT based waste management system. Renewable and Sustainable Energy Reviews, 157, 112031.
Eren, E., & Tuzkaya, U. R. (2021). Safe distance-based vehicle routing problem: Medical waste collection case study in COVID-19 pandemic. Computers & Industrial Engineering, 157, 107328.
Wang, K., & Nai, W. (2021, June). Application of 5G wireless communication technology in hazardous medical waste treatment. In 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) (pp. 87-90). IEEE.
Ahmad, R. W., Salah, K., Jayaraman, R., Yaqoob, I., Omar, M., & Ellahham, S. (2021). Blockchain-based forward supply chain and waste management for COVID-19 medical equipment and supplies. Ieee Access, 9, 44905-44927
Sikri, A. ., Singh, N. P. ., & Dalal, S. . (2023). Analysis of Rank Aggregation Techniques for Rank Based on the Feature Selection Technique. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 95–108. https://doi.org/10.17762/ijritcc.v11i3s.6160
ARECHE, F. O. ., & Palsetty , K. . (2021). Ubiquitous Counter Propagation Network in Analysis of Diabetic Data Using Extended Self-Organizing Map. Research Journal of Computer Systems and Engineering, 2(2), 51:57. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/33
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.