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- Mobility sensing and V2X communication for emergency servicesPublication . Figueiredo, Andreia; Rito, Pedro; Luís, Miguel; Sargento, SusanaThe warning of traveling emergency response vehicles (ERVs) is performed through the help of both sound and lights when the ERV is approaching. This is not an ideal situation for, at least, two reasons: the information is received only when the ERV is very close to other vehicles; and the other vehicles cannot understand where exactly the ERV is, and which action is the best according to its location and direction. With the help of ehicular communications, this paper proposes a diferent approach for an ERV to be autonomously and preemptively detected. Based on the collected data through vehicle com munication and sensors, primarily through cooperative Awareness Messages (CAMs) and Radio Detection And Ranging (RADAR) data, a prediction of the ERV future location is performed in real-time, and warning messages are disseminated to vehicles just before the ERV arrival. Real-world evaluation tests, considering diferent warning dissemination scenarios, show that the warning messages lost during the process is signifcantly reduced from almost 80% down to 22%, especially when infrastructure-to-vehicle and vehicle-to-vehicle communications are used together. Moreover, 80% of the total warning messages are delivered in less than 100 ms
- On the performance of 5G for cloud- and edge-based emergency services in smart citiesPublication . Perna, Gonçalo; Rosmaninho, Rodrigo; Sampaio, Hugo; Rito, Pedro; Luís, Miguel; Sargento, SusanaThe deployment of emergency services in a city scenario, such as the ones for users’ safety in the roads, require the support of fast network technologies and efficient network architectures. Moreover, these services need to be available city-wide, so a flexible approach is needed to deploy high-speed technology to the overall city.This paper addresses the performance of 5G technology and its architecture to deploy emergency services with strict requirements, when compared to the use of fiber throughout the city. It considers the location of demanding services, in this specific case the people detection in the road through video cameras, both in the edge and the cloud, and with both fiber and real 5G connection between the edge and the cloud. We evaluate this architecture in a real scenario with real users and vehicles in the area. The obtained results show that 5G with an edge-based approach can provide similar services to fiber-based connections to the cloud.