The Internet of Things (IoT) is a communication paradigm in which objects of everyday life are able to, among others, communicate with one another. Wireless networking is expected to sustain the direct interaction between personal users’ devices and to provide connectivity on large-scale resource-constrained devices. Information-Centric Networking (ICN) has been considered the most promising candidate to overcome the drawbacks of host-centric architectures when applied to IoT networks. Nevertheless, consumer and producer mobility are still an open challenge.
The InfoCent-IoT research project aims to improve current ICN architectures by taking advantage of mobility prediction in mobile IoT environments. Forwarding, routing and caching are some of the ICN features that will take advantage of such information. By properly studying and understanding mobility patterns of different network elements, ranging from simple pedestrians to bicycles or even vehicular devices, it is possible to improve the network performance or services supported by mobile systems. The outcome will be a geolocation prediction algorithm capable of, in a first phase, identifying popular regions, which has already been achieved, and latter identify individual trajectories in order to predict the geolocation of a determined element, in time and space.
Regarding the ICN architecture the project is introducing new mechanisms to address the mobility and the communication models that characterize a mobile IoT network. Context-based and mobility awareness caching and forwarding strategies have already been proposed and evaluated through simulation using real traces of mobility with several types of devices with different communication technologies, and the results clearly demonstrate the effectiveness of the solution developed so far. The research team is currently evolving the architecture to address push-based communication models, while at the same time preparing the setup to be evaluated in real-world mobile IoT scenarios.
InfoCent-IoT is a research project funded by FCT involving two research groups of IT, the Network Architectures and Protocols from Aveiro (Miguel Luís, Susana Sargento, Carlos Senna, Luís Gameiro, Luís Leira, Diego Hernandez) and the Radio Systems from Lisbon (Rodolfo Oliveira, Pedro Amaral, António Furtado, Luís Irio, André Ip, Pedro Rio).
When driving is a daily and long routine, signs of wear-out may appear. Researchers from the University of Aveiro (UA) and IT in Lisbon have developed a steering wheel cover that alerts drivers when they show signs of fatigue, informing them that it is time to stop and rest. The objective is to reduce road accidents.
By monitoring the heartbeat, this system it is able to assess the driver's health and emotional state, checking whether the person is able to drive. The cover, made from graphene and textile fibers, incorporates a set of electronic devices preserving the spectrum, flexibility and touch of the fabric.
With some demonstrations and tests carried out, the project has already attracted the interest of the mobile industry. However, researchers also have other targets in mind. This system can be adapted to more basic vehicles, such as motorcycles and bicycles, or more technological and that require greater responsibility, such as airplanes.