Enhancing Healthcare RFID Asset Tracking: A Multi-Objective Optimization Approach Considering Network Delay, False Identification, and Energy Efficiency
DOI:
https://doi.org/10.5614/itbj.ict.res.appl.2026.19.3.1Keywords:
asset optimization, healthcare asset, multi-objective function, RFID, RFID asset trackingAbstract
This paper discusses asset challenges detection in the healthcare industry, specifically delays and inaccuracies in asset monitoring caused by suboptimal RFID polling methods. The research question is how to determine an appropriate RFID polling interval that balances asset location accuracy, reader energy consumption, and network response time. Due to the increasing risk of mismanagement and equipment loss, an efficient approach is needed to improve asset-tracking accuracy. This study proposes a simulation-based multi-objective optimization approach by determining the optimal polling period to minimize network delay, reader energy consumption, and false identifications. Monte Carlo simulation models the stochastic movement of assets to evaluate system performance under different polling strategies. The results of one experiment showed that 100 assets, with an average moving rate of 2.48, reached the optimal scanning period of 1460 minutes. Additional experiments were conducted to analyze the sensitivity of the optimal polling interval to changes in asset population and movement rates. The contribution of this study is the development of a holistic model to determine the optimal scanning time to improve asset-tracking accuracy and reduce operational costs in RFID systems. Although evaluated in a healthcare context, the proposed framework is versatile and can also be used for other RFID-based asset monitoring scenarios with similar trade-offs.
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References
Huang, S., Guo, Y., Zha, S., Wang, F. & Fang, W., A Real-time Location System Based on RFID and UWB for Digital Manufacturing Workshop, Procedia CIRP, 2017.
van Hoof, J., Verboor, J., Oude Weernink, C.E., Sponselee, A.A.G., Sturm, J.A., Kazak, J.K., Govers, G.M.J. & van Zaalen, Y., Real-time location systems for asset management in nursing homes: An explorative study of ethical aspects, Information (Switzerland), 9(4), 2018.
Fisher, J.A. & Monahan, T., Evaluation of real-time location systems in their hospital contexts, Int J Med Inform, 81(10), 2012.
Gholamhosseini, L., Sadoughi, F. & Safaei, A., Hospital real-time location system (A practical approach in healthcare): A narrative review article, Iranian Journal of Public Health, 48(4), 2019.
Bazo, R., da Costa, C.A., Seewald, L.A., da Silveira Jr., L.G., Antunes, R.S., Righi, R.R. & Rodrigues, V.F., A Survey About Real-Time Location Systems in Healthcare Environments, Journal of Medical Systems, 45(11), 2021.
Aboelmaged, M. & Hashem, G., RFID application in patient and medical asset operations management: A technology, organizational and environmental (TOE) perspective into key enablers and impediments, Int J Med Inform, 118, pp. 54-64, June 2018.
Aboelmaged, M.G., Enablers and impediments of RFID implementation in health service operations, Proc. of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2017.
Yao, W., Chu, C.H. & Li, Z., The adoption and implementation of RFID technologies in healthcare: A literature review, Journal of Medical Systems, 36(6), 2012.
Polycarpou, A.C., Dimitriou, A., Bletsas, A., Polycarpou, P.C., Papaloizou, L., Gregoriou, G. & Sahalos, J.N., On the design, installation, and evaluation of a radio-frequency identification system for healthcare applications [wireless corner], IEEE Antennas Propag Mag, 54(4), 2012.
Glabman, M., Room for tracking. RFID technology finds the way., Mater Manag Health Care, 13(5), 2004.
Adame, T., Bel, A., Carreras, A., MeliSegu J., Oliver, M. & Pous, R., CUIDATS: An RFID?WSN hybrid monitoring system for smart health care environments, Future Generation Computer Systems, 78, 2018.
Iluore, O.E., Mamudu Onose, A. & Emetere, M., Development of asset management model using real-time equipment monitoring (RTEM): case study of an industrial company, Cogent Business and Management, 7(1), 2020. (Journal)
Bhanage, G.D., Yu, Z., Yanyong, Z., Trappe, W. & Howard, R.E., RollCall: The design for a low-cost and power efficient active RFID asset tracking system, Proc. of EUROCON 2007, 2007.
Suakanto, S., Performance Measurement of Cloud Computing Services, International Journal on Cloud Computing: Services and Architecture, 2(2), 2012.
Suhardi, Suakanto, S. & Hutagalung, M., The effects of FTR-HTTP control variables on the performance of internet integrated sensor networks, International Journal on Electrical Engineering and Informatics, 7(2), 2015. (Journal)
Putri, A., Suakanto, S., Siswanto, J., Arifin, F.F., Darmawan, I. & Angela, D., Human Resource Application Development using Person-Job Matching for Placement of Prospective Employees, Proc. of ICADEIS 2023, 2023.
Suakanto, S., Setiawan, A. & Nurtrisha, W.A., Data Modeling for Productive Asset and Supporting Asset, Proc. of ICEEI, pp. 1?6, 2023.
Conneely, K., Managing corporate assets with RFID, Assembly Automation, 29(2), 2009.
Li, N., Li, S., Calis, G. & Becerik-Gerber, B., Improving In-Building Asset Localization by Offset Vector and Convergence Calibration Methods, Journal of Computing in Civil Engineering, 27(4), 2013.
Munoz-Ausecha, C., Gez, J.E.G., Ruiz-Rosero, J. & Ramirez-Gonzalez, G., Asset Ownership Transfer and Inventory Using RFID UHF TAGS and Ethereum Blockchain NFTs, Electronics (Switzerland), 12(6), 2023.
Shi, G., He, Y., Yin, B., Zuo, L., She, P., Zeng, W. & Ali, F.A., Analysis of Mutual Couple Effect of UHF RFID Antenna for the Internet of Things Environment, IEEE Access, 7, 2019.
Alharbe, N., Alharbe, N. & Atkins, A.S., A study of the application of automatic healthcare tracking and monitoring system in Saudi Arabia, International Journal of Pervasive Computing and Communications, 10(2), 2014.
Muthuselvi, R., Asset tracking and management system for library using active radio frequency identification (RFID), Biomedical Research (India), 2016. (Journal)
Ibrahim, A. & Gebali, F., Energy-efficient word-serial processor for field multiplication and squaring suitable for lightweight authentication schemes in RFID-based IoT applications, Applied Sciences (Switzerland), 11(15), 2021.
Pandian, M.T., Somasundaram, D., Sahu, H.K., Sindhu, A.S., Kumaresan, A. & Watson, N.V., Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach, IEEE Access, 12, 2024.
Pandian, M.T., Prasad, S.N. & Sharma, M., A Detailed Evolutionary Scrutiny of PEIS with GPS Fleet Tracker and AOMDV-SAPTV Based on Throughput, Delay, Accuracy, Error Rate, and Success Rate, Wirel Pers Commun, 121(4), 2021.
Costin, A.M. & Teizer, J., Fusing passive RFID and BIM for increased accuracy in indoor localization, Visualization in Engineering, 3(1), 2015.
Sousa, L., Rocha, H., Ribeiro, A. & Lobo, F., INEXT: A Computer System for Indoor Object Location using RFID, Proc. of the 13th Brazilian Symposium on Computing Systems Engineering (SBESC), 2023.
Motamedi, A., Soltani, M.M. & Hammad, A., Localization of RFID-equipped assets during the operation phase of facilities, Advanced Engineering Informatics, 27(4), 2013.
Abdelaziz, A.M., Alarabi, L., Basalamah, S. & Hendawi, A., A multi-objective optimization method for hospital admission problem?a case study on COVID-19 patients, Algorithms, 14(2), 2021.
Rubio, F., Llopis-Albert, C. & Valero, F., Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth, Technol Forecast Soc Change, 173, 2021.
Penna, P., Prada, A., Cappelletti, F. & Gasparella, A., Multi-objectives optimization of Energy Efficiency Measures in existing buildings, Energy Build, 95, 2015.
Yang, T., Xiang, J., Wang, Y., Tan, X., Wang, J., Yan, N., Zheng, L. & Min, H., An Active Tag Using Carrier Recovery Circuit for EPC Gen2 Passive UHF RFID Systems, IEEE Transactions on Industrial Electronics, 65(11), 2018.
