Ricerc@Sapienza

IoT sensors for measuring various sea water parameters, are explored here, aiming towards an educational context, in order to lead to a deeper understanding of the use of aquatic environments as natural resources, and towards the adoption of environmentally friendly behaviors. Sea-water sensing via IoT has not been extensively explored, due to practical difficulties in deployment, and the same applies to devising appropriate scenaria for understanding aquatic parameters in STEM education.

Recent technological improvements in vehicle manufacturing may greatly improve safety however, the individuals' driving behaviour still remains a factor of paramount importance with aggressiveness, lack of focus and carelessness being the main cause of the majority of traffic incidents.

Making provides a beneficial learning environment that requires skills and knowledge from the areas of science, technology, engineering, and mathematics to design and construct a product or an artefact. In this paper the maker approach reflects on the pedagogical potential of learning through the design and deployment of an automated system that monitors and records environmental parameters in lakes and rivers.

The introduction of new key features into the core specification of Bluetooth Low Energy (BLE) increased its potentialities, thus paving the way to the development of new networking paradigms. The ability for a single node to participate in more than a piconet and to assume both the role of master and slave makes it possible the formation of multi-hop networks that can be used in several emerging application scenarios.

We are living an era in which each of us is immersed in a fully connected environment. The smart devices worn everyday by everyone let the users be projected into the so called IoT world, whose main aim is to provide tools and strategies to solve problems of everyday life as well as to improve well-being and quality of life. Such a goal can be achieved in several ways, but consumer specific services should be provided according to their daily habits, as well as temporary needs.

Security of sensible data for ultraconstrained IoT smart devices is one of the most challenging task in modern design. The needs of CPA-resistant cryptographic devices has to deal with the demanding requirements of small area and small impact on the overall power consumption. In this work, a novel current-mode feedback suppressor as on-chip analog-level CPA countermeasure is proposed. It aims to suppress differences in power consumption due to data-dependency of CMOS cryptographic devices, in order to counteract CPA attacks.

In the Internet of Things (IoT) new challenges for both the networks and the applications are arising. This is due to the use of constrained communication platforms, like Low Power Wide Area Networks (LPWANs), due to the handling of variable and heterogeneous data traffic and due to the fact that IoT applications are characterized by sporadic interactions of IoT devices. Above all, providing simultaneous connectivity among billions of devices will revolutionize the concept of data exchange and sharing.

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality.

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation.

Internet-of-Things end-nodes demand low power processing platforms characterized by heterogeneous dedicated units, controlled by a processor core running multiple control threads. Such architecture scheme fits one of the main target application domain of the RISC-V instruction set. We present an open-source processing core compliant with RISC-V on the software side and with the popular Pulpino processor platform on the hardware side, while supporting interleaved multi-threading for IoT applications. The latter feature is a novel contribution in this application domain.