A LoRaWAN testbed design for supporting critical situations: prototype and evaluation

The Internet of Things is one of the hottest topics in communications today, with current revenues of $151B, around 7 billion connected devices, and an unprecedented growth expected for next years. A massive number of sensors and actuators are expected to emerge, requiring new wireless technologies that can extend their battery life and can cover large areas. LoRaWAN is one of the most outstanding technologies which fulfill these demands, attracting the attention of both academia and industry. In this paper, the design of a LoRaWAN testbed to support critical situations, such as emergency scenarios or natural disasters, is proposed. This self-healing LoRaWAN network architecture will provide resilience when part of the equipment in the core network may become faulty. This resilience is achieved by virtualizing and properly orchestrating the different network entities. Different options have been designed and implemented as real prototypes. Based on our performance evaluation, we claim that the usage of microservice orchestration with several replicas of the LoRaWAN network entities and a load balancer produces an almost seamless recovery which makes it a proper solution to recover after a system crash caused by any catastrophic event.Postprint (published version

A LoRaWAN testbed design for supporting critical situations: prototype and evaluation

The Internet of Things is one of the hottest topics in communications today, with current revenues of $151B, around 7 billion connected devices, and an unprecedented growth expected for next years. A massive number of sensors and actuators are expected to emerge, requiring new wireless technologies that can extend their battery life and can cover large areas. LoRaWAN is one of the most outstanding technologies which fulfill these demands, attracting the attention of both academia and industry. In this paper, the design of a LoRaWAN testbed to support critical situations, such as emergency scenarios or natural disasters, is proposed. This self-healing LoRaWAN network architecture will provide resilience when part of the equipment in the core network may become faulty. This resilience is achieved by virtualizing and properly orchestrating the different network entities. Different options have been designed and implemented as real prototypes. Based on our performance evaluation, we claim that the usage of microservice orchestration with several replicas of the LoRaWAN network entities and a load balancer produces an almost seamless recovery which makes it a proper solution to recover after a system crash caused by any catastrophic event

Hybrid GNSS/INS/UWB positioning for live demonstration assisted driving

In Cooperative Intelligent Transport Systems, precise and reliable positioning and navigation is a key feature for assisted or autonomous driving. This contribution presents experimental results from a pilot demonstration involving different stakeholders for assisted driving in a smart city scenario. A low-cost multi-sensor fusion positioning prototype which integrates GNSS, INS and UWB measurements, with communication capabilities has been deployed into a 5G communication architecture to test real-time positioning and communication capabilities in delay constraint/safety applications. A description of the prototype and experimental performance results are provided.Peer ReviewedPostprint (published version

Demonstration and evaluation of precise positioning for connected and automated mobility services

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksCooperative, Connected and Automated Mobility (CCAM) services require precise and reliable localization services able to infer and track the position of a vehicle with lane accuracy. The H2020 5GCroCo project, which trials 5G technologies in the European cross-border corridor along France, Germany and Luxembourg, as well as in five small-scale trial sites, considers different technologies to enhance vehicle localization, including GPS-Real Time Kinematic (GPS-RTK), Ultra-WideBand (UWB) and Inertial Sensors (INS). This paper presents a compact prototype, which integrates these localization technologies with 5GCroCo’s On-Board Unit (OBU) equipment, and its evaluation within the scope of the Anticipated Cooperative Collision Avoidance (ACCA) Use Case demonstrated in Barcelona small-scale trial site.This work has been supported by the EC under grant agreement No. 825050 (5GCroCo), by the European Union Regional Development Fund (ERDF) through project Fem IoT and by MCIN/AEI/10.13039/501100011033 under grant PID2020-112675RB-C43. The realization of the trial has been supported by Barcelona’s Institut Municipal d’InformaticaPeer ReviewedPostprint (published version