International Journal of RF Technologies - Volume 14, issue 2

Authors: Eli-Chukwu, Ngozi C. | Nmadu, Daniel | Uma, Uma U. | Eheduru, Marcellinus I. | Ogah, Ogah E. | Emeh, Jerryson C.

Article Type: Research Article

Abstract: The 2019 coronavirus pandemic is considered a global health emergency and the greatest challenge human kind has faced since World War II. The disease has claimed many lives globally and has caused major economic deterioration. The most challenging is the constant change of the virus through mutations leading to emergence of different variants. There are stipulated measures to mitigate the spread of this virus amongst which social distancing protocol seems to be the most effective. This study measures compliance with COVID-19 social distancing protocol using Radio Frequency Identification in a university in Southeastern Nigeria. The result reveals low indicators of …compliance with the social distancing precautionary measures. The results from different faculties indicate that the students did not comply, with an average compliance of 24 percent. The study contributes to present and future pandemic management as the rate at which the virus spreads despite the precautionary measures were alarming. Hence the need to measure compliance in real time rather than adopting an abstract method in a critical situation of this nature. Show more

Keywords: COVID-19, social distancing protocol, preventive measures, radio frequency identification

DOI: 10.3233/RFT-221503

Citation: International Journal of RF Technologies, vol. 14, no. 2, pp. 79-88, 2024

Authors: Ling, Zhimei | Wei, Chaoying

Article Type: Research Article

Abstract:  Radio frequency identification (RFID) provides real-time network monitoring capabilities for threat identification. However, accurate detection is impeded by tag interference. This paper presents an adaptive collision tree algorithm that selects optimal binary or octal splits based on collision counts to handle interference. Experiments demonstrate an integrated RFID intrusion detection framework that achieves 8.98% higher throughput and 99.82% detection accuracy compared to other protocols. The method enables efficient real-time threat identification as networks proliferate. However, there are limitations to the approach, such as assumptions of fixed tag populations rather than dynamic tags and a lack of field testing. To strengthen the …approach, further research on fluctuating tags and validation in real-world network deployments is necessary. This work presents an adaptive method for leveraging RFID to achieve scalable and accurate network intrusion detection. Show more

Keywords: Collision tree, radio frequency identification, electronic tag, network intrusion, identification

DOI: 10.3233/RFT-230057

Citation: International Journal of RF Technologies, vol. 14, no. 2, pp. 89-105, 2024

Authors: Guo, Jing | Wang, Yalan | Guo, Ying | Dai, Shuaijun | Yan, Ruyu | Shi, Zaijie

Article Type: Research Article

Abstract: With the rapid growth of e-commerce, logistics companies face challenges in efficient routing and scheduling to meet dynamic delivery demands. This paper proposes a novel logistics scheduling model to optimize vehicle routing using Radio Frequency Identification (RFID) technology. A vehicle scheduling model is developed. The random customer demand and service time are solved using an adaptive taboo search algorithm combined with a nearest neighbor algorithm. Comparative experiments demonstrate the performance of the improved method in completing tasks and reducing queueing time compared to other methods. A case study of route optimization for a logistics company shows the model can recommend …optimized routes that reduce total transportation cost by over 25% compared to using RFID alone. The results highlight the potential of the proposed technique to enhance logistics efficiency. Limitations and future work are discussed. Show more

Keywords: RFID technology, logistics, adaptive taboo search algorithm, nearest neighbor algorithm, scheduling

DOI: 10.3233/RFT-230059

Citation: International Journal of RF Technologies, vol. 14, no. 2, pp. 107-124, 2024

Authors: Bottani, Eleonora | Correale, Samanta | Rizzi, Antonio | Stefanini, Roberta | Vezzani, Linda

Article Type: Research Article

Abstract: The research aims at assessing the level of interest towards and adoption of Radio Frequency IDentification (RFID) technology among a sample of manufacturers, retailers, logistic service providers, solution providers and vertically integrated fashion retailers belonging to the Fashion, Consumer Goods and Healthcare sectors in Italy. A survey was created in collaboration with GS1 Italy, a no-profit organization that develops standards for enhancing collaboration between companies, associations, institutions and consumers and enrols more than 40,000 companies. Overall, 58 useful responses were collected. Statistical analyses were carried out with the support of Statistical Package for the Social Sciences (SPSS) for Windows …and MS Excel. Results show that RFID solutions are implemented by 31% of the interviewees and tested by 21% of them, mainly thanks to the favourable ROI and the possibility of gaining a competitive advantage over competitors through the automation of logistics processes, visibility of inventory and production progress, and avoided stock out. The RFID users often achieved results above expectations regarding the order picking errors reduction, the increase of operational efficiency and inventory accuracy. The few obstacles encountered are the read failures or the over-performing reading, but they are not perceived as relevant. Overall, most experimenters and non-users currently adopt barcode solutions, but showed their intention to implement RFID systems in the future, underlying a strong interest towards this identification technology. Show more

Keywords: RFID deployment, identification technology, fast moving consumer good, fashion, GS1 Italy

DOI: 10.3233/RFT-230062

Citation: International Journal of RF Technologies, vol. 14, no. 2, pp. 125-150, 2024