Modeling and simulation of an IoT enabled cold Chain Logistics management system

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Dünya ekonomisinin etkileyici bir şekilde büyümesi, soğuk zincirde izlenmesi ve yönetilmesi gereken özellikle sıcaklık duyarlı ürünler için belirsizlik durumları karşısında etkin, esnek ve duyarlı olabilmek amacıyla lojistik hizmetleri talep eden tedarik zincirinde artış sağlamıştır. Bunun gerçekleştirilebilmesi için Lojistik şirketerinin uygun bilişim teknolojileri ile desteklenmesi gerekmektedir. İnternet kullanımı ile müşteri ve lojistik sağlayıcı arasında etkili bir bilgi akışı ortamı sağlanmaktadır; ancak lojistik hizmetindeki bilgi ve ürün akışı arasındaki mevcut açıklık, sıcaklık duyarlı nesneler hakkında gerçek zamanlı bilginin elde edilmesinde karar vericiler için lojistik yönetimini daha zor duruma getiren bir problem oluşturmaktadır. Nesnelerin İnterneti alanındaki gelişmeler soğuk zincir sanayilerinde izleme, yönetme ve gerçek zamanlı görünürlük sağlama ve uygun zeka seviyesi ile bilgi paylaşımı alanında potensiyel çözümler sunmaktadır. Bu çalışmada soğuk zincirin gerçek zamanlı ortam sıcaklığını izleme, yönetme ve soğuk zincir içerisindeki sıcaklık duyarlı ürünlerin raf ömrünün tahmin edilmesi aracılığıyla tüm karar vericilerin karar desteklerini geliştirmeye yardımcı olan IoT erişimli soğuk zincir lojistiği gösterilemektedir. Çalışma içerisinde, gerçek zamanlı ortam verileri IEEE 802.15.4 kablosuz algılayıcı ağ yapısı kullanılarak elde edilmiş ve toplanan veriler bir ağ geçidi aracılığıyla sunucuya, ürünlerin raf ömürlerinin geliştirilen karar destek sistemi yardıyla tahmin edilebilmesini sağlamak üzere, gönderilmiştir. Ayrıca, soğuk zincir içerisindeki bozulabilir ürünlerin tespiti için Radyo Frekanslı Tanıma (Radio Frequency Identification-RFID) kullanılmıştır. Çalışma içerisinde kullanılan tüm cihazlar ve protokoller olay-güdümlü Riverbed Modeler yazılımıyla modellenerek benzetimleri yapılmıştır.The Dramatic growth of world economy results growth in the supply chain which demands logistics service to be agile, flexible and responsive in the face of uncertainty, especially for temperature sensitive products that need to be monitored and managed in the cold chain. To achieve this, Logistics companies must be supported by appropriate information technologies. Internet provides an effective means of driving information between customer and logistics provider, however, existing gap between products flow and information flow in logistic service has created a problem in getting real-time information about temperature sensitive items which make logistics management more challenging for decision makers. The growth of internet of things (IoT) gives a potential solution for monitoring, managing, and achieving real-time visibility and sharing information with the appropriate level of intelligence in cold chain industries. This paper demonstrates IoT enabled cold chain logistics that helps to enhance the decision support of all actors through managing, monitoring the real-time ambient temperature of the cold chain and predicting the shelf-life of temperature sensitive products inside the cold chain. In the study, real-time data of ambient parameters are gathered using IEEE 802.15.4 based wireless sensor networks and sent to the remote server through a gateway so that the shelf life of the products can be predicted by the decision support system developed. Radio Frequency Identification (RFID) is also used for identification of perishable goods inside the cold chain. All the devices and protocols employed in the study are modeled and simulated using event-driven Riverbed Modeler software

Analysis and characterization of the backscatter-link frequency in passive UHF-RFID systems

[ES] La tecnología de identificación por radiofrecuencia (RFID) es clave para la visualización de cada objeto en el marco de la Internet de las Cosas. Y más concretamente, la tecnología pasiva es la más extendida e implantada, ya que un lector puede identificar multitud de etiquetas en un corto periodo de tiempo. Cada etiqueta responde al lector a través de una subportadora denominada Frecuencia de Enlace por Retro-dispersión (Backscatter-Link Frequency, BLF). Con el objetivo de caracterizar este parámetro, en este artículo se emplea un conjunto de pruebas para evaluar la aleatoriedad de valores de BLF medidos y obtenidos de etiquetas comerciales. Los resultados muestran grandes variaciones de este parámetro respecto al primer valor esperado por el lector, así como durante el proceso de comunicación. Este comportamiento puede ser aprovechado como una característica diferenciadora de cada etiqueta y puede emplearse en los procesos de comunicación u otros fines. Consiguiendo, en definitiva, e[EN] Radio-frequency identification technology (RFID) is key for the  visualization of each object in the Internet of Things framework. Specifically, passive technology is the most widespread type of the worldwide implemented systems, due to a reader can identify multitude of tags in a short period of time. Each tag responds to the reader at a subcarrier called Backscatter-Link Frequency (BLF). In order to characterize this parameter, a set of tests has been used in this paper to assess the randomness of measured BLF values from commercial tags. The results show great variations of this parameter comparing with the first expected value in the reader, as well as during the communication process. This behavior can be used as a distinguishing feature of each tag, in communication processes or for other purposes. Ultimately, creating and providing more efficient passive tags.Ministerio de Educación, Cultura y Deporte, ayudas FPU13/01582 y EST15/00367Blanco, J.; García, A.; Cañas, V. (2020). Análisis y caracterización de la frecuencia de enlace por retro-dispersión en sistemas UHF-RFID pasivos. Revista Iberoamericana de Automática e Informática industrial. 17(1):76-83. https://doi.org/10.4995/riai.2019.11115OJS7683171Arjona, L., Simon, H., & Ruiz, A. 2018. Energy-Aware RFID Anti-Collision Protocol. Sensors, 18(6), 1904. https://doi.org/10.3390/s18061904Badru, A., & Ajayi, N. 2017. Adoption of RFID in large-scale organisation - A review of challenges and solutions. In 2017 IST-Africa Week Conference (IST-Africa) (pp. 1-10). IEEE. https://doi.org/10.23919/ISTAFRICA.2017.8102394Bagheri, N., Alenaby, P., & Safkhani, M. 2017. A new anti-collision protocol based on information of collided tags in RFID systems. International Journal of Communication Systems, 30(3), e2975. https://doi.org/10.1002/dac.2975Bratuz, I., Vodopivec, A., & Trost, A. 2014. Resolving Collision in EPCglobal Class-1 Gen-2 System by Utilizing the Preamble. IEEE Transactions on Wireless Communications, 13(10), 5330-5339. https://doi.org/10.1109/TWC.2014.2350975Chen, Y., Su, J., & Yi, W. 2017. An Efficient and Easy-to-Implement Tag Identification Algorithm for UHF RFID Systems. IEEE Communications Letters, 21(7), 1509-1512. https://doi.org/10.1109/LCOMM.2017.2649490Choi, H., Kim, H., & Choi, S. 2017. Capture-Aware Couple-Resolution Blocking Protocol in RFID Systems. Wireless Personal Communications, 93(4), 969-986. https://doi.org/10.1007/s11277-016-3940-2Dawei Shen, Woo, G., Reed, D. P., Lippman, A. B., & Junyu Wang. 2009. Separation of multiple passive RFID signals using Software Defined Radio. In 2009 IEEE International Conference on RFID (pp. 139-146). 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Aachen, Germany.Shoufeng, W., Dongchen, Z., Xiaoyan, X., Shumeng, S., & Tinglan, W. 2014. A novel anti-collision scheme for RFID systems. In 2014 IEEE World Forum on Internet of Things (WF-IoT) (pp. 458-461). IEEE. https://doi.org/10.1109/WF-IoT.2014.6803210Solic, P., Maras, J., Radic, J., & Blazevic, Z. 2017. Comparing theoretical and experimental results in Gen2 RFID throughput. IEEE Transactions on Automation Science and Engineering, 14(1), 349-357. https://doi.org/10.1109/TASE.2016.2532959Su, J., Sheng, Z., Hong, D., & Wen, G. 2016. An Effective Frame Breaking Policy for Dynamic Framed Slotted Aloha in RFID. IEEE Communications Letters, 20(4), 692-695. https://doi.org/10.1109/LCOMM.2016.2521839White, G., Nallur, V., & Clarke, S. 2017. Quality of service approaches in IoT: A systematic mapping. Journal of Systems and Software, 132, 186-203. https://doi.org/10.1016/j.jss.2017.05.125Wijayasekara, S. K., Robithoh, A., Sasithong, P., Vanichchanunt, P., Nakpeerayuth, S., & Wuttisittikulkij, L. 2017. A Reduced Complexity of Vahedi's Tag Estimation Method for DFSA. Engineering Journal, 21(6), 111-125. https://doi.org/10.4186/ej.2017.21.6.111Wu, H., Wang, Y., & Zeng, Y. 2018. Capture-aware Bayesian RFID tag estimate for large-scale identification. IEEE/CAA Journal of Automatica Sinica, 5(1), 119-127. https://doi.org/10.1109/JAS.2017.7510757Yong, W., Qing, L., Lei, W., & Hao, S. 2017. Research on Anti-Collision Algorithm in Radio Frequency Identification Technology. In 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (pp. 239-244). IEEE. https://doi.org/10.1109/IHMSC.2017.167Zhang, T., Li, Q., Zhang, C.-S., Liang, H.-W., Li, P., Wang, T.-M., … Wu, C. 2017. Current trends in the development of intelligent unmanned autonomous systems. 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Advanced Radio Frequency Identification Design and Applications

Radio Frequency Identification (RFID) is a modern wireless data transmission and reception technique for applications including automatic identification, asset tracking and security surveillance. This book focuses on the advances in RFID tag antenna and ASIC design, novel chipless RFID tag design, security protocol enhancements along with some novel applications of RFID

Протокол запобігання колізій в мережі IoT з використанням безпілотних літальних апаратів

Мета роботи: вирішення проблеми колізій міток для щільних середовищ Інтернету Речей, за рахунок запропонованого протоколу запобігання колізій в мережі ІoT з використанням безпілотних літальних апаратів. В ході виконання даної роботи розроблено тривимірну модель системи радіочастотної ідентифікації на основі БПЛА, розроблено новий алгоритм боротьби із колізіями для Інтернету Речей, на основі якого запропоновано протокол протидії колізії множини тегів на базі БПЛА (протокол протидії колізії для множини міток). Проведено моделювання та виконано оцінку запропонованого протоколу.Goal: solving the problem of label collisions for dense environments of the Internet of Things, due to the proposed protocol to prevent collisions in the Internet of Things using unmanned aerial vehicles. In the course of this work, a three-dimensional model of the UAV-based radio frequency identification system was developed, and a new anti-collision algorithm for the Internet of Things was developed, based on the anti-collision protocol for multiple tags. The simulation and evaluation of the proposed protocol was performed

Intelligent Sensor Networks

In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts