IoT Monitoring Platform
Over the last years, Wireless Sensor Networks (WSN) went from being a promising technology for countless industrial applications to a cheap alternative in todays’ applications. At the same time, the Industrial Control Systems (ICS) have been evolving by using IP technologies in their core. Nevertheless, with this paradigm shift, new threats appear, of which the stuxnet worm is just an example, and Intrusion Detection Systems architectures and monitoring solutions were and still are being considered. However, most of the existing projects in the industrial security field, only focus the security aspects in the wired-based technologies, neglecting the importance of the introduction of wireless based technologies in this field. In this demo, a monitoring tool capable to monitor the network, hardware, and firmware of sensor nodes will be presented. With this architecture we are able not only to detect security attacks in industrial standards like WirelessHART, but also to detect hardware and firmware faults. In the demonstration, a monitoring web application will be presented, where several metrics about the health of the network will be shown.
Framework for the Study of Energy Efficient Mechanisms in IoT Network
Energy Harvesting Internet of Things Networks serve nowadays as the backbone of a myriad of high-connectivity concepts in where it is necessary to extract more and more information from the environment while maintaining a perpetual operational state. Maximizing the collection of environmental data employing a multi-hop Energy Harvesting IoT Network while maintaining an Energy Neutral Operation is a challenging task because it is necessary to balance overall network utility with the scarcity of energy resources, typical of Energy Harvesting techniques. A framework is developed which can perform simulations with a proposed mathematical optimization model so it can be validated and appropriately analyzed. This demo will present an interactive platform to create network topologies and to manage the input parameters that are given to simulations of the model. Subsequently, simulations results can be graphically viewed as network states through time, and behavioral patterns can be inferred with built-in graphical depictions.
Intelligent Traffic Light System based on Low Power Devices
Fully passive wireless networks are a key-enabling technologies for the Internet of Things (IoT). The elimination of batteries or the increase of battery lifetime for dozens of years is a must in these new technologies. One possibility to make this increase significantly is to use backscatter radios. Backscatter modulation allows a remote device to wirelessly transfer information without requiring a traditional transceiver. Instead, a backscatter device leverages a carrier transmitted by an access point or base station. By putting together passive baskscatter radios and wireless networks, we designed an intelligent traffic light system for touristic boats, also known as moliceiros, sailing in Ria de Aveiro. This demo will show how a boat captain can be aware of the Ria traffic conditions, extremely important in blind spot situations, using a simple mobile phone and by adding a simple, costless and small setup on its moliceiro. This solution will improve the mobility in the Ria de Aveiro, thus improving the safety of hundreds of tourists that everyday discover this city.
Orchestration in the Cloud
City officials can take advantage of data from mobile devices and from the emergent and pervasive network of sensors, to build new and innovative applications that would be unthinkable not so long ago. To do this effectively, managers must be able to define automated rules to access information and exert control, regardless of their skills on computer science. This involves a combination of factors, like the availability of a rich workflow-based language that can facilitate communication with technicians, while, at the same time, providing the means to perform computation on edge and cloud resources. To solve this problem, we propose the use of a serverless composition tool, as it enables managers to write simple and understandable programs capable of transparently running on multiple locations. These can bring new services to the city environment, even when large amounts of data are involved and small latencies are required. To demonstrate this, we consider the problem of controlling traffic and finding paths according to a number of optimization criteria, taking incident traffic on the streets and pollutant information into account. By ensuring the interaction between cars, other vehicles, and mobile devices with city officials, traffic might be controlled on the fly, thus positively impacting transit times, pollution, and safety.
SDN-assisted deployment of security probes
Integrating Crosswalk Awareness in Safety-oriented Wireless Vehicular Networks
Driver assistance systems can be used to improve road and car safety, reduce driving fatigue and provide a more efficient driving experience. An important part of these systems, as a key enabling technology, is the communication between vehicles, and between the vehicles and the infrastructure. This demo presents an end-to-end solution for assisted driving mechanisms by integrating crosswalk awareness, and other useful traffic information, in safety-oriented wireless vehicular networks. Piezoelectric sensors, energy harvesting, backscatter modulation and multi-communication technology (Wi-Fi and 802.11p/WAVE) are some of the technologies used in this system.
Traffic Modeling and Environment Monitoring
Greenhouse emissions, air pollution and noise from traffic-related activities in cities is still a major concern for many citizens, managers and policy makers. The assessment and quantification of these indicators involves, in first place, the use of traffic modeling tools that are capable of reflecting traffic, pedestrians and cyclists activities both based on real and field traffic data in order to identify the most sensitive areas. These can bring new services to the environmental monitoring, even when large amounts of data are required. To solve this problem, the research team propose a sustainability indicator for accounting traffic-related externalities such as traffic congestion, greenhouse emissions, air quality, noise and crashes according to the type of road. To demonstrate this application, the environmental monitoring along an intercity corridor in Aveiro region will be presented, which comprised alternative routes by quantifying external costs of transportation according to the site-specific information. By ensuring the interaction between cars, other vehicles and mobile devices with city officials, this would encourage the design of eco-traffic management policies considering the perspective of drivers, commuters, population and system, thus influencing environmental impacts.
DateOctober 19, 2018
LocationAuditório Prof. Dr. Carlos Borrego
Departamento de Ambiente
Universidade de Aveiro
Campus Universitário de Santiago