DeustoTeka Examinando por Autor "Perallos Ruiz, Asier"

Examinando por Autor "Perallos Ruiz, Asier"

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Assessment of the impact of a fully electrified postal fleet for urban freight transportation
(Elsevier Ltd, 2021-02-24) Martínez Velázquez, Miguel; Moreno Emborujo, Asier; Angulo Martínez, Ignacio; Mateo Domingo, Carlos; Masegosa Arredondo, Antonio David; Perallos Ruiz, Asier; Frías Marín, Pablo
The progressive electrification of urban distribution fleets, motivated by the consolidation of electric vehicle technology and by the mobility advantages that cities grant to non-polluting vehicles, poses future challenges that affect electrical distribution networks. This paper simulates the main last mile distribution models that can be adopted in a mega-city such as Madrid. In particular, the impact of carrying out the full load of the last mile distribution by means of electric vehicles is analyzed. Two fundamental aspects are studied, the efficiency of the different routes developed by each transport vehicle and the impact that these routes have in the electrical distribution network. For this purpose, an intelligent route planner, capable of optimizing the distribution of the load among the number of vehicles available in each postal service hub (PSH), is combined with a Reference Network Model that designs and expands the distribution network to supply consumers and electric vehicles. Several scenarios in terms of location and segmentation of postal service hubs are analyzed. From this analysis, it is concluded that reinforcements on the distribution network are avoided if the operation is decentralized (using fourteen PSHs), since a centralized operation (a single PSH) would require longer routes with higher energy consumption. Moreover, decentralized operation would enhance the emissions reduction achieved by electrifying the fleet, since the estimated absolute emissions of the electrified fleet for a decentralized scenario are up to 50% lower compared to a centralized one. Finally, the results reveal that smart charging strategies also contribute to lessen the incremental costs in the distribution network, in addition to significantly reducing the cost of energy supply.
Dynamic frame update policy for UHF RFID sensor tag collisions
(MDPI AG, 2020-05-09) Arjona Aguilera, Laura; Landaluce, Hugo; Perallos Ruiz, Asier; Onieva Caracuel, Enrique
The current growing demand for low-cost edge devices to bridge the physical–digital divide has triggered the growing scope of Radio Frequency Identification (RFID) technology research. Besides object identification, researchers have also examined the possibility of using RFID tags for low-power wireless sensing, localisation and activity inference. This paper focuses on passive UHF RFID sensing. An RFID system consists of a reader and various numbers of tags, which can incorporate different kinds of sensors. These sensor tags require fast anti-collision protocols to minimise the number of collisions with the other tags sharing the reader’s interrogation zone. Therefore, RFID application developers must be mindful of anti-collision protocols. Dynamic Frame Slotted Aloha (DFSA) anti-collision protocols have been used extensively in the literature because EPCglobal Class 1 Generation 2 (EPC C1G2), which is the current communication protocol standard in RFID, employs this strategy. Protocols under this category are distinguished by their policy for updating the transmission frame size. This paper analyses the frame size update policy of DFSA strategies to survey and classify the main state-of-the-art of DFSA protocols according to their policy. Consequently, this paper proposes a novel policy to lower the time to read one sensor data packet compared to existing strategies. Next, the novel anti-collision protocol Fuzzy Frame Slotted Aloha (FFSA) is presented, which applies this novel DFSA policy. The results of our simulation confirm that FFSA significantly decreases the sensor tag read time for a wide range of tag populations when compared to earlier DFSA protocols thanks to the proposed frame size update policy.
A fully customizable RFID research platform with exchangeable modules
(Institute of Electrical and Electronics Engineers Inc., 2021-04-15) Muralter, Florian; Arjona Aguilera, Laura; Landaluce, Hugo; Perallos Ruiz, Asier
This manuscript presents the design and implementation of a passive, modular, computational ultra high frequency (UHF) radio frequency identification (RFID) research platform. The proposed platform consists of a software defined radio (SDR) reader and a modular UHF RFID tag. Such a tag can be subdivided into a number of modules (e.g., Modulator, Rectifier, etc.), which have been separated and optimized for easy connectability using sub-miniature A (SMA) connectors and standard jumper wires. Experimental results of module specific parameters show the accessibility of each section and prove the platform's value for designing novel UHF RFID solutions.
Genetic optimised serial hierarchical fuzzy classifier for breast cancer diagnosis
(Inderscience Publishers, 2020) Zhang, Xiaoxiao; Onieva Caracuel, Enrique; Perallos Ruiz, Asier; Osaba, Eneko
Accurate early-stage medical diagnosis of breast cancer can improve the survival rates and fuzzy rule-base system (FRBS) has been a promising classification system to detect breast cancer. However, the existing classification systems involves large number of input variables for training and produces a large number of fuzzy rules, which lead to high complexity and barely acceptable accuracy. In this paper, we present a genetic optimised serial hierarchical FRBS, which incorporates lateral tuning of membership functions and optimisation of the rule base. The serial hierarchical structure of FRBS allows selecting and ranking the input variables, which reduces the system complexity and distinguish the importance of attributes in datasets. We conduct an experimental study on Original Wisconsin Breast Cancer Database and Wisconsin Breast Cancer Diagnostic Database from UCI Machine Learning Repository, and show that the proposed system can classify breast cancer accurately and efficiently.
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems
(Elsevier B.V., 2018-01-03) Osaba, Eneko ; Carballedo Morillo, Roberto ; Díaz Martín, José Fernando ; Onieva Caracuel, Enrique ; Masegosa Arredondo, Antonio David ; Perallos Ruiz, Asier
Researchers who investigate in any area related to computational algorithms (both defining new algorithms or improving existing ones) usually find large difficulties to test their work. Comparisons among different researches in this field are often a hard task, due to the ambiguity or lack of detail in the presentation of the work and its results. On many occasions, the replication of the work conducted by other researchers is required, which leads to a waste of time and a delay in the research advances. The authors of this study propose a procedure to introduce new techniques and their results in the field of routing problems. In this paper, this procedure is detailed, and a set of good practices to follow are deeply described. It is noteworthy that this procedure can be applied to any combinatorial optimization problem. Anyway, the literature of this study is focused on routing problems. This field has been chosen because of its importance in real world, and its relevance in the actual literature.
Harmonic voltage reflection analysis of UHF RFID chips
(Institute of Electrical and Electronics Engineers Inc., 2021) Muralter, Florian; Hani, Michael; Landaluce, Hugo; Perallos Ruiz, Asier; Biebl, Erwin M.
In recent years, the exploitation of the nonlinear behavior of ultrahigh-frequency (UHF) radio frequency identification (RFID) chips has gained popularity. This article presents a measurement platform for the harmonic characterization of UHF RFID chips. The measurement of the incident and reflected wave at the RFID chip terminals is performed using a digital sampling oscilloscope (DSO). A novel signal-processing methodology is presented to extract time-domain reflection coefficient equivalents from a DSO measurement at the different load modulation states. Using a simultaneous measurement of the reflection coefficient with a vector network analyzer, the obtained measurement results were validated. Furthermore, a comparison to using real-time sampling and a power spectral density analysis is presented.
A passive computational UHF RFID platform using vector backscatter modulation
(Institute of Electrical and Electronics Engineers Inc., 2022-01-27) Muralter, Florian; Arjona Aguilera, Laura; Landaluce, Hugo; Perallos Ruiz, Asier
This article presents the design and implementation of a passive, computational ultra high frequency (UHF) radio frequency identification (RFID) platform using vector backscatter modulation on the uplink (tag-to-reader). The proposed RFID system consists of a software defined radio (SDR) reader and the corresponding passive, computational tag. The communication protocol is firmware-implemented, thus offering high flexibility in configuring its functionalities. A dual-gate MOSFET is used to implement the vector backscatter modulator. Experimental results prove the platform's feasibility and show the benefits of using vector backscatter communication compared to using the standard binary phase-shift keying (BPSK). For the investigated 128-bit tag-to-reader message based on the EPC Class 1 Generation 2 communication protocol, the sequence length was shortened by a factor of 1.91.
Polarization-diversity-based rotation sensing methodology using COTS UHF RFID tags
(Institute of Electrical and Electronics Engineers Inc., 2023-03-08) Muralter, Florian; Muralter, Fabian; Landaluce, Hugo; Perallos Ruiz, Asier
Phase-based sensing using ultra-high frequency (UHF) radio-frequency identification (RFID) has, in recent years, yielded numerous additions to the Internet of Things (IoT). This work presents a polarization diversity-based rotation sensing methodology using common-off-the-shelf (COTS) UHF RFID tags identified with a software-defined radio (SDR) UHF RFID reader. The proposed methodology uses the tag-to-reader message after fully coherent demodulation to calculate a difference signal of the backscatter load modulation states. This sequence is then used to compute the rotation speed by evaluating its phase change over time. Experimental results are used to validate the theoretical model and to evaluate the performance and limitiations of the proposed system.
Protocol for streaming data from an RFID sensor network
(MDPI AG, 2019-07-17) Souto, Gentza; Muralter, Florian ; Arjona Aguilera, Laura ; Landaluce, Hugo; Perallos Ruiz, Asier
Currently, there is an increasing interest in the use of Radio Frequency Identification (RFID) tags which incorporate passive or battery-less sensors. These systems are known as computational RFID (CRFID). Several CRFID tags together with a reader set up an RFID sensor network. The reader powers up the tags’ microcontroller and their attached sensor using radio frequency waves, and tags backscatter, not only their EPC code but also the value of those sensors. The current standard for interrogating these CRFID tags is the EPC global Class 1 Generation 2 (EPC C1G2). When several tags are located inside the reader interrogation area, the EPC C1G2 results in very poor performance to obtain sensor data values. To solve this problem, a novel protocol called Sensor Frmed Slotted Aloha (sFSA) for streaming sensor data dealing with the tag collisions is presented. The proposed protocol increases the Sensor Read Rate (SRR), defined as the number of sensor data reads per second, compared to the standard. Additionally, this paper presents a prototype of an RFID sensor network to compare the proposed sFSA with the standard, increasing the SRR by more than five times on average. Additionally, the proposed protocol keeps a constant sensor sampling frequency for a suitable streaming of these tag sensors.
A review of IoT sensing applications and challenges using RFID and wireless sensor networks
(MDPI AG, 2020-04-20) Landaluce, Hugo; Arjona Aguilera, Laura; Perallos Ruiz, Asier; Falcone, Francisco; Angulo Martínez, Ignacio; Muralter, Florian
Radio frequency identification (RFID) and wireless sensors networks (WSNs) are two fundamental pillars that enable the Internet of Things (IoT). RFID systems are able to identify and track devices, whilst WSNs cooperate to gather and provide information from interconnected sensors. This involves challenges, for example, in transforming RFID systems with identification capabilities into sensing and computational platforms, as well as considering them as architectures of wirelessly connected sensing tags. This, together with the latest advances in WSNs and with the integration of both technologies, has resulted in the opportunity to develop novel IoT applications. This paper presents a review of these two technologies and the obstacles and challenges that need to be overcome. Some of these challenges are the efficiency of the energy harvesting, communication interference, fault tolerance, higher capacities to handling data processing, cost feasibility, and an appropriate integration of these factors. Additionally, two emerging trends in IoT are reviewed: the combination of RFID and WSNs in order to exploit their advantages and complement their limitations, and wearable sensors, which enable new promising IoT applications.

Examinando por Autor "Perallos Ruiz, Asier"

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