Aveiro Tech City Living Lab: A Communication, Sensing, and Computing Platform for City Environments
Abstrak
This article presents the deployment and experimentation architecture of the Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. This platform comprises a large number of Internet of Things (IoT) devices with communication, sensing, and computing capabilities. The communication infrastructure, built on fiber and millimeter-wave (mmWave) links, integrates a communication network with radio terminals [WiFi, ITS-G5, cellular vehicular-to-everything, 5G and LoRa(WAN)], multiprotocol, spread throughout 44 connected points of access in the city. Additionally, public transportation has also been equipped with communication and sensing units. All these points combine and interconnect a set of sensors, such as mobility (radars, light detection and rangings (LiDARs), and video cameras) and environmental sensors. Combining edge computing and cloud management to deploy the services and manage the platform, and a data platform to gather and process the data, the living lab supports a wide range of services and applications: IoT, intelligent transport systems (ITSs) and assisted driving, environmental monitoring, emergency and safety, and among others. This article describes the architecture, implementation, and deployment to make the overall platform to work and integrate researchers and citizens. Moreover, it showcases some examples of the performance metrics achieved in the city infrastructure, the data that can be collected, visualized, and used to build services and applications to the cities, and, finally, different use cases in the mobility and safety scenarios.
Topik & Kata Kunci
Penulis (17)
P. Rito
Ana Almeida
Andreia Figueiredo
Christian Gomes
Pedro Teixeira
Rodrigo Rosmaninho
R. Lopes
Duarte Dias
Gonccalo V'itor
G. Perna
Miguel Silva
Carlos R. Senna
Duarte M. G. Raposo
Miguel Lu'is
S. Sargento
Arnaldo Oliveira
N. Carvalho
Akses Cepat
- Tahun Terbit
- 2022
- Bahasa
- en
- Total Sitasi
- 64×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1109/JIOT.2023.3262627
- Akses
- Open Access ✓