261 shared publications
Antennas Group-TERALAB, Universidad Pública de Navarra, Campus Arrosadia, Pamplona 31006, Spain
164 shared publications
Department of Electrical Engineering, University of Jaén, Jaén, Spain
143 shared publications
Electronic Engineering DepartmentUniversity of Rome Tor Vergata Rome Italy
134 shared publications
Department of Signal Theory and Communications, University of Vigo, 36310 Vigo, Spain
106 shared publications
Faculty of Engineering, University of Deusto, and with DeustoTech-Fundacion Deusto, Deusto Foundation. Bilbao, Spain
(2004 - 2018)
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.
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.
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.