Emiliano Sisinni

University of Brescia | UNIBS · Department of Information Engineering

Wide area, wireless, IoT-based, distributed sensor systems can be employed in mixed criticality solutions for measurement/detection/signaling of emergencies, dangers, accidents, and disasters. All these scenarios require reliability, security, and safety. This work introduces and characterizes a new proposal to enhance existing LoRaWAN applications...

Smart mobility is emerging, addressing heterogeneous scenarios with high impact on technology infrastructures, solutions, and people. Safety and availability are mandatory, forcing the design of new reliable services for localization, health monitoring of the user, maintenance of vehicle, and protection of the environment. This paper proposes a con...

Light and active mobility, as well as multimodal mobility, could significantly contribute to decarbonization. Air quality is a key parameter to monitor the environment in terms of health and leisure benefits. In a possible scenario, wearables and recharge stations could supply information about a distributed monitoring system of air quality. The av...

In a LoRaWAN network, the backend is generally distributed as Software as a Service (SaaS) based on container technology, and recently, a containerized version of the LoRaWAN node stack is also available. Exploiting the disaggregation of LoRaWAN components, this paper focuses on the emulation of complex end-to-end architecture and infrastructures f...

Edge computing allows for data processing at reduced latency since the computational power is moved close to the data sources. Traditionally, edge computing has been often used in industrial scenarios for implementing gateways between the OT (operational technology) worlds and the IT (cloud) world. Recently, big manufacturers of industrial PLC (pro...

The so-called ‘‘energy digitalization’’ is pervading the power and energy industry by providing many state- of-the-art digital technologies to collect, store, and analyze the very heterogeneous information managed in modern power systems. Requirements in terms of sampling frequency, temporal and user aggregation, measured quantities, measurement ag...

The Internet protocol (IP) is pivotal for the Internet of Things (IoT) paradigm, since it glues together the application-layer and the lower-level protocols of the stack, abstracting away the differences in the several access technologies. In this way, applications can access a uniform network interface, ignoring details about the actual underlying...

The demand for enhanced flexibility in automation systems, dictated by initiatives as the Industry 4.0 in Europe or the Industrial Internet Consortium in the United States, can be satisfied inheriting solutions of the information technology (the so called IT-OT convergence). Other than communication and cloud technologies, virtualization will play...

The Internet of Things (IoT) approach relies on the use of the Internet Protocol (IP) as a pervasive network protocol. IP acts as a “glue” for interconnecting end devices (on the field side) and end users, leveraging on very diverse lower-level and upper-level protocols. The need for scalability would suggest the adoption of IPv6, but the large ove...

The digital transformation of Industry 4.0 is driven by the automation of manufacturing processes. In this context, communication plays a vital role and the emergence of 5G wireless technology brings the promise of connectivity scenarios like the industrial internet of things and industrial cyber-physical systems. However, there are still several a...

The IEEE International Symposium on Measurements and Networking (M&N) is a conference sponsored by the IEEE Instrumentation and Measurement Society (IMS). It is a privileged forum for discussing the emerging trends in the areas of measurements, communications, computer science, wireless systems, and sensor networks and fostering a debate with engin...

Battery Electric Vehicles (BEVs) are called to play a relevant role in the decarbonization of the urban mobility. However, the actual sustainability of BEVs remains doubtful, particularly if the energy stored in the batteries is produced from fossil fuels rather from renewable sources. In this scenario, the presence of renewable energy resources, s...

Advanced industrial communication systems are fundamental pillars of the ongoing digital transformation of industrial systems. Initiatives like the Industry 4.0 and the Industrial Internet Consortium aim at increasing the overall production efficiency leveraging on fast, reliable, and deterministic communication technologies. The improvements of in...

As constantly stated by the World Health Organization, physical activity is extremely important for a healthy aging, but how exercises are made is as important as how much activity is made. A large variety of wearable devices capable of sensing people movement is available on the market. Automatic detection and classification of fitness activity is...

The increased number of sensors in modern cars offers the opportunity to develop algorithms that can monitor and diagnose vehicle performance more efficiently. We present the results of applying and deploying a TinyML model into a typical OBD-II automotive scanner to serve as a soft-sensor and estimate carbon dioxide emissions. A TinyML workflow ba...

Recently, a transparent enhancement to LoRaWAN, called Lora-REP, has been proposed to cope with emergency situation generated by sporadic events in Internet-of-Things (IoT) scenarios. The LoRa-REP uses message replication to boost the performance of the emergency communication, reducing average transaction time and increasing success probability. P...

The application of the Internet of Things paradigm to the power and energy sector is opening the way to advanced monitoring and control capabilities over Distributed Energy Resources (DERs). In particular, the ability to use heterogeneous communication infrastructures is a key feature to enable the integration of DERs in modern distribution network...

Nowadays, the development of smart, distributed and possibly wirelessly connected sensors networks is acquiring a greater importance. Indeed, the need to connect mobile or even unreachable devices (sensors, controllers and actuators) is mandatory in the novel smart factory context. Actually, the novel industrial measurement systems must guarantee c...

The Internet of Things (IoT) has reduced the distance between one point and another and between people by connecting multiple devices to the web. However, the volume and speed of data creation and transmission have also increased. In this scenario, some challenges start to emerge, such as potentially irrelevant or redundant data transmission, that...

In this paper the authors present a current mode approach for the readout of differential capacitive sensors. The main novelty lies in the use of the relatively new second generation voltage conveyor (VCII) active block to process signals in the current domain and then operate an inherent conversion to a voltage output, so to make the readout opera...

LoRa (Long Range) technology, with great success in providing coverage for massive Internet-of-things (IoT) deployments, is recently being considered to complement the terrestrial networks with Low Earth Orbit (LEO) satellite connectivity. The objective is to extend coverage to remote areas for various verticals, such as logistics, asset tracking,...

The Internet of Things (IoT) paradigm is already producing new services in a variety of domains, including industrial applications. However, some of them, such as autonomous vehicles, require not only accurate data from the surrounding environment, but also information on the location the data was obtained. While well-established technologies, such...

The push for increase production efficiency and reduce discards is calling for a new generation of automatic test equipment (ATE) relying on cloud architecture. In details, traditional in-line automatic test equipment can be connected by means of IoT technology to the cloud, where virtually unlimited complexity algorithms can increase the measureme...

Many different application domains are taking advantage from the adoption of the Internet of Things (IoT) paradigm. Among them, intelligent transportation systems can improve efficiency and sustainability by exploiting increased awareness about the actual mobility resource availability. For this reason, the idea of mobility as a service is gaining...

Sensor interface is a term including all the circuits adopted for providing measurement readouts from sensor signals. Starting from early 2000s, a plethora of solutions, generally addressed as direct sensor-to-microcontroller interfaces, has been proposed. This concept is particularly intriguing given the widespread adoption of smart devices follow...

Ultra Wide Band (UWB) based solutions for real time localization are starting to be widely diffused. They use two-way ranging scheme achieving indoor positioning accuracy well below ten centimeters. These wireless devices are based on counters with picosecond resolution, which could be used also for nodes time synchronization. This work aims to pro...

Wireless communications may be the key solution to satisfy mobility, flexibility and scalability requirements of the Internet of Things (IoT). Particularly, the Low Power Wide Area Networks (LPWANs), operating in unlicensed bands, are promising because they permit both private and public backends. Unfortunately, their target applications are situat...

Cellular networks are envisioned to be a cornerstone in future industrial IoT (IIoT) wireless connectivity in terms of fulfilling the industrial-grade coverage, capacity, robustness, and timeliness requirements. This vision has led to the design of verticals-centric service-based architecture of 5G radio access and core networks. The design incorpo...

As the number of installed Battery Energy Storage Systems (BESSs) increases, the concerns related to possible cyberattacks to these systems rise accordingly. The most of BESS owners knows their systems may be vulnerable, but they often consider only denial of service attacks in their risk assessment. Unfortunately, other, subtler and more dangerous...

Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make the data manageable among tiny and battery-powered devices and, more importantly, shareable...

Industry 4.0 paradigm improves industrial automation systems efficiency leveraging on the Industrial Internet of Things (IIoT), offering pervasive connectivity with field devices and paving the way to innovative services. Updating legacy machines in brownfield installations is needed for preserving investments. This paper discusses the design and t...

Low Power Wide Area Networks (LPWANs) are wireless technologies well accepted in the Internet of Things (IoT) scenarios because they operate in both public and private infrastructure using unlicensed frequency bands. Differently from other wireless standards, the LPWAN target applications are low-rate, sporadic-transmission, low-energy systems. Sur...

The advent of the Internet of Things (IoT) paradigm highlighted the importance of core technologies at the root of any distributed systems, as wireless communications, cloud computing and big data analysis. Today, companies and organizations, pursuing the so-called Industry 4.0 (r)evolution, are moving toward smart factories, smart workforce, and i...

The technical innovation of the fourth industrial revolution (Industry 4.0—I4.0) is based on the following respective conditions: horizontal and vertical integration of manufacturing systems, decentralization of computing resources and continuous digital engineering throughout the product life cycle. The reference architecture model for Industry 4....

Industrial Internet of things (IIoT) and machine-to-machine (M2M) connectivity are strictly related and represent the next step in the ever-evolving world of industrial communications. The lack of a single wireless technology capable of satisfying new requirements in terms of flexibility, scalability, and low-power consumption led to the proposal o...

Although the idea of using wireless links for covering large areas is not new, the advent of low-power wide-area networks (LPWANs) has recently started by changing the game. Simple, robust, and narrowband modulation schemes permit the implementation of low-cost radio devices offering high receiver sensitivity, thus improving the overall link budget...

Although the idea of using wireless links for covering large areas is not new, the advent of LPWANs has recently started changing the game. Simple, robust, narrowband modulation schemes permit the implementation of low-cost radio devices offering high receiver sensitivity, thus improving the overall link budget. The several technologies belonging t...

Many new narrowband low-power wide-area networks (LPWANs) (e.g., LoRaWAN, Sigfox) have opted to use pure ALOHA-like access for its reduced control overhead and asynchronous transmissions. Although asynchronous access reduces the energy consumption of IoT devices, the network performance suffers from high intra-network interference in dense deployme...

Many new narrowband low-power wide-area networks (LPWANs) (e.g., LoRaWAN, Sigfox) have opted to use pure ALOHA-like access for its reduced control overhead and asynchronous transmissions. Although asynchronous access reduces the energy consumption of IoT devices, the network performance suffers from high intra-network interference in dense deployme...

Most Internet of Things applications rely on wireless communication, which ensures flexibility and scalability. However, an increasing number of these applications have real-time constraints and require mixed-criticality. Indeed, the complexity of distributed systems necessarily calls for data exchanges with different priorities and different failu...

In the Industry 4.0 the communication infrastructure is derived from the Internet of Things (IoT), and it is called Industrial IoT or IIoT. Smart objects deployed on the field collect a large amount of data which is stored and processed in the Cloud to create innovative services. However, differently from most of the consumer applications, the indu...