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Francisco Falcone   Professor  University Educator/Researcher 
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Francisco Falcone published an article in November 2018.
Research Keywords & Expertise See all
0 A
0 Exposure
0 Scenario
0 Smart Cities
0 Wireless
0 Wireless Sensor Networks
Top co-authors See all
Miguel Beruete

259 shared publications

Antennas Group-TERALAB, Universidad Pública de Navarra, Campus Arrosadia, Pamplona 31006, Spain

Francisco Jurado

164 shared publications

Department of Electrical Engineering, University of Jaén, Jaén, Spain

Ernesto Limiti

143 shared publications

Electronic Engineering DepartmentUniversity of Rome Tor Vergata Rome Italy

Ana Vazquez Alejos

134 shared publications

Department of Signal Theory and Communications, University of Vigo, 36310 Vigo, Spain

Enrique Onieva

106 shared publications

Faculty of Engineering, University of Deusto, and with DeustoTech-Fundacion Deusto, Deusto Foundation. Bilbao, Spain

Publication Record
Distribution of Articles published per year 
(2004 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 1 Citation Study on isolation improvement between closely-packed patch antenna arrays based on fractal metamaterial electromagnetic... Mohammad Alibakhshikenari, Bal S. Virdee, Chan Hwang See, Ra... Published: 28 November 2018
IET Microwaves, Antennas & Propagation, doi: 10.1049/iet-map.2018.5103
DOI See at publisher website
CONFERENCE-ARTICLE 26 Reads 0 Citations <strong>Analysis, Design and Empirical Validation of a Smart Campus based on LoRaWAN</strong> Paula Fraga-Lamas, Mikel Celaya-Echarri, Peio Lopez-Iturri, ... Published: 14 November 2018
Proceedings, doi: 10.3390/ecsa-5-05740
DOI See at publisher website ABS Show/hide abstract

Internet of Things (IoT) applications in smart environments demand challenging requirements to the wireless networks in terms of security, coverage, availability, power consumption, and scalability. The technologies employed so far to cope with IoT scenarios are not yet able to manage simultaneously all these demanding requirements, but recent solutions like Low-Power Wide Area Networks (LP-WANs) have emerged as a promising alternative to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide Area Network (LoRaWAN) standard is one of the most successful developments, receiving attention from both industry and academia. This work presents a comprehensive case study of LoRaWAN under a realistic scenario within a smart city: a smart campus. Such a medium-scale scenario has been implemented through the in-house developed 3D Ray Launching radio planning simulator including traffic lights, vehicles, people, buildings and urban furniture and vegetation. The developed tool is able to provide accurate radio propagation estimations within the smart campus scenario in terms of coverage,
capacity and energy efficiency of the network. These results are compared with an empirical validation in order to assess the operating conditions and the system accuracy. We further present an analysis of the key findings in order to provide some guidelines for IoT vendors, network operators, and city planners to investigate further deployments of LoRaWAN for large-scale smart city applications.

CONFERENCE-ARTICLE 16 Reads 0 Citations <strong>Radio Channel Characterization in Dense Forest Environments for IoT-5G</strong> Peio Lopez Iturri, Erik Aguirre, Mikel Celaya-Echarri, Leyre... Published: 14 November 2018
Proceedings, doi: 10.3390/ecsa-5-05731
DOI See at publisher website ABS Show/hide abstract

The attenuation due to vegetation can limit drastically the performance of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) communication systems. Even more for the envisaged high data rates expected for the upcoming 5G mobile wireless communications. In this context, radio planning tasks become necessary in order to assess the validity of future WSN and IoT systems operating in vegetation environments. For that purpose, path loss models for scenarios with vegetation play a key role since they provide RF power estimations that allow an optimized design and performance of the wireless network. Although different propagation models for vegetation obstacles can be found in the literature, a model combining path loss and multipath propagation is rarely considered. In this contribution, we present the characterization of the radio channel for IoT and 5G systems in a real recreation area located within a dense oak forest environment. This specific forest, composed of thick in-leaf trees, is called Orgi Forest and it is situated in Navarre, Spain. In order to fit and validate a radio channel model for this type of scenarios, both measurements and simulations by means of an in-house developed 3D Ray Launching algorithm have been performed, which takes into account the previously mentioned path loss and multipath propagation phenomena.

CONFERENCE-ARTICLE 208 Reads 0 Citations <strong>Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Densi... Mikel Celaya-Echarri, Leyre Azpilicueta, Peio López-Iturri, ... Published: 14 November 2018
Proceedings, doi: 10.3390/ecsa-5-05729
DOI See at publisher website ABS Show/hide abstract

The uncontainablefuture development of Smart regions, as a set of Smart cities’ networks assembled, is directly associated with a growing demand of full interactive and connected ubiquitous smart environments. To achieve this global connection goal, large number of transceivers and multiple wireless systems will be involved to provide user services and applications (i.e. Ambient Assisted Living, emergency situations, e-health monitoring or Intelligent Transportation Systems) anytime and anyplace, regardless the devices, networks or systems, they use. Adequate, efficient and effective radio wave propagation tools, methodologies and analyses in complex environments (indoor and outdoor) are crucially required to prevent communication limitations such as coverage, capacity or speed or channel interferences due to nodes’ density or channel restrictions. In this work, radio wave propagation characterization in an urban indoor and outdoor environment, at ISM 2.4GHZ and 5GHz Wireless Sensor Networks (WSNs), has been assessed. The selected scenario is an auditorium placed in a city free open area surrounded by inhomogeneous vegetation. User density within the scenario, in terms of inherent transceivers density, poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. By means of an in-house developed 3D ray launching algorithm, the impact of variable density wireless sensor network operation within this complex scenario is presented. This analysis and the proposed simulation methodology, can lead in an adequate interference characterization, considering conventional transceivers as well as wearables, which provide suitable information for the overall network performance in complex crowded indoor and outdoor scenarios.

Article 0 Reads 0 Citations Interaction Between Closely Packed Array Antenna Elements Using Meta‐Surface for Applications Such as MIMO Systems and S... Mohammad Alibakhshikenari, Bal S. Virdee, Panchamkumar Shukl... Published: 07 November 2018
Radio Science, doi: 10.1029/2018rs006533
DOI See at publisher website
Article 0 Reads 0 Citations Integration of Autonomous Wireless Sensor Networks in Academic School Gardens Peio Lopez-Iturri, Mikel Celaya-Echarri, Leyre Azpilicueta, ... Published: 25 October 2018
Sensors, doi: 10.3390/s18113621
DOI See at publisher website ABS Show/hide abstract
In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.