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Sisinni, Emiliano
Publications (10 of 13) Show all publications
Bonafini, F., Depari, A., Ferrari, P., Flammini, A., Pasetti, M., Rinaldo, S., . . . Gidlund, M. (2019). Exploiting localization systems for LoRaWAN transmission scheduling in industrial applications. In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS): . Paper presented at 15th IEEE International Workshop on Factory Communication Systems (WFCS'19), Sundsvall, Sweden, May 27-29, 2019.. IEEE, Article ID 8757999.
Open this publication in new window or tab >>Exploiting localization systems for LoRaWAN transmission scheduling in industrial applications
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2019 (English)In: 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, 2019, article id 8757999Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) paradigm contaminated industrial world, allowing for innovative services. The wireless communications seem to be particularly attracting, especially when complement indoor and outdoor Real Time Location Systems (RTLS) for geo-referencing smart objects (e.g. for asset tracking). In this paper, the LoRaWAN solution is considered for transmitting RTLS data. LoRaWAN is an example of Low Power Wide Area Network: it tradeoffs throughput with coverage and power consumption. However, performance can be greatly improved with limited changes to the standard specifications. In this work, a scheduling layer is suggested above the regular stack for allocating communication resources in a time slot channel hopping medium access strategy. The main innovation is the time synchronization, which is obtained opportunistically from the ranging devices belonging to the RTLSs. The experimental testbed, based on commercially available solutions, demonstrates the affordability and feasibility of the proposed approach. When low-cost GPS (outdoor) and UWB (indoor) ranging devices are considered, synchronization error of few microseconds can be easily obtained. The experimental results show the that time reference pulses disciplined by GPS have a maximum jitter of 180 ns and a standard deviation of 40 ns whereas, if time reference pulses disciplined by UWB are considered, the maximum jitter is 3.3 μs and the standard deviation is 0.7 μs.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Localization, LoRaWAN, Synchronization, Industrial IoT
National Category
Computer Engineering Communication Systems
Identifiers
urn:nbn:se:miun:diva-36735 (URN)10.1109/WFCS.2019.8757999 (DOI)000490866300015 ()2-s2.0-85070104144 (Scopus ID)978-1-7281-1268-8 (ISBN)
Conference
15th IEEE International Workshop on Factory Communication Systems (WFCS'19), Sundsvall, Sweden, May 27-29, 2019.
Projects
TIMELINESS
Funder
Knowledge Foundation
Available from: 2019-07-15 Created: 2019-07-15 Last updated: 2019-11-13Bibliographically approved
Gidlund, M., Han, S., Sisinni, E., Saifullah, A. & Jennehag, U. (2018). Guest Editorial From Industrial Wireless Sensor Networks to Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 4(5), 2194-2198
Open this publication in new window or tab >>Guest Editorial From Industrial Wireless Sensor Networks to Industrial Internet of Things
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2018 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 4, no 5, p. 2194-2198Article in journal, Editorial material (Refereed) Published
Keywords
Special issues and sections, Production facilities, Manufacturing automation, Informatics, Wireless sensor networks, Actuators, Internet of Things, Industrial engineering, Industrial communication
National Category
Communication Systems Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33893 (URN)10.1109/TII.2018.2815957 (DOI)000431531400037 ()2-s2.0-85046798123 (Scopus ID)
Projects
TIMELINESS
Funder
Knowledge Foundation
Available from: 2018-06-25 Created: 2018-06-25 Last updated: 2019-03-22Bibliographically approved
Sisinni, E., Saifullah, A., Han, S., Jennehag, U. & Gidlund, M. (2018). Industrial Internet of Things: Challenges, Opportunities, and Directions. IEEE Transactions on Industrial Informatics, 14(11), 4724-4734
Open this publication in new window or tab >>Industrial Internet of Things: Challenges, Opportunities, and Directions
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2018 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 14, no 11, p. 4724-4734Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) is an emerging domain that promises ubiquitous connection to the Internet, turning common objects into connected devices. The IoT paradigm is changing the way people interact with things around them. It paves the way to creating pervasively connected infrastructures to support innovative services and promises better flexibility and efficiency. Such advantages are attractive not only for consumer applications, but also for the industrial domain. Over the last few years, we have been witnessing the IoT paradigm making its way into the industry marketplace with purposely designed solutions. In this paper, we clarify the concepts of IoT, Industrial IoT, and Industry 4.0. We highlight the opportunities brought in by this paradigm shift as well as the challenges for its realization. In particular, we focus on the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy. We also provide a systematic overview of the state-of-the-art research efforts and potential research directions to solve Industrial IoT challenges.

Keywords
Industrial Internet of Things (IIoT), Wireless Sensor Network (WSN), Real-time communication, Reliability, Security
National Category
Communication Systems Telecommunications Computer Engineering
Identifiers
urn:nbn:se:miun:diva-34277 (URN)10.1109/TII.2018.2852491 (DOI)000450168500001 ()2-s2.0-85049358359 (Scopus ID)
Projects
TIMLINESS
Funder
Knowledge Foundation
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2019-03-18Bibliographically approved
Barile, G., Ferri, G., Parente, F. R., Stornelli, V., Depari, A., Flammini, A. & Sisinni, E. (2017). A standard CMOS bridge-based analog interface for differential capacitive sensors. In: PRIME 2017 - 13th Conference on PhD Research in Microelectronics and Electronics, Proceedings: . Paper presented at 13th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2017, Naxos, Italy, 12 June 2017 through 15 June 2017 (pp. 281-284). IEEE, Article ID 7974162.
Open this publication in new window or tab >>A standard CMOS bridge-based analog interface for differential capacitive sensors
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2017 (English)In: PRIME 2017 - 13th Conference on PhD Research in Microelectronics and Electronics, Proceedings, IEEE, 2017, p. 281-284, article id 7974162Conference paper, Published paper (Refereed)
Abstract [en]

This work describes an analog electronic interface, based on a modified De Sauty AC bridge, performing a differential capacitive sensor estimation. A suitable feedback loop tunes a Voltage Controlled Resistor to balance the bridge. The electronic circuit has been designed in a standard integrated CMOS technology (AMS 0.35μm) with a low supply voltage (±1.5 V) and a reduced power consumption (lower than 4mW). PSpice simulation results show a very good agreement with theoretical expectations. The output voltage accuracy shows a 0.03V maximum absolute error for a range of ±50% of sensor variations from its baseline value. Very small baseline values are allowed (tens of μF). 

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
analog front-end, Bridge circuits, Capacitive sensors, CMOS technology
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33337 (URN)10.1109/PRIME.2017.7974162 (DOI)2-s2.0-85027552257 (Scopus ID)9781509065073 (ISBN)
Conference
13th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2017, Naxos, Italy, 12 June 2017 through 15 June 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
Ascorti, L., Savazzi, S., Soatti, G., Nicoli, M., Sisinni, E. & Galimberti, S. (2017). A Wireless Cloud Network Platform for Industrial Process Automation: Critical Data Publishing and Distributed Sensing. IEEE Transactions on Instrumentation and Measurement, 66(4), 592-603, Article ID 7851047.
Open this publication in new window or tab >>A Wireless Cloud Network Platform for Industrial Process Automation: Critical Data Publishing and Distributed Sensing
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2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 4, p. 592-603, article id 7851047Article in journal (Refereed) Published
Abstract [en]

Wireless technologies combined with advanced computing are changing industrial communications. Industrial wireless networks can improve the monitoring and the control of the entire system by jointly exploiting massively interacting communication and distributed computing paradigms. In this paper, we develop a wireless cloud platform for supporting critical data publishing and distributed sensing of the surrounding environment. The cloud system is designed as a self-contained network that interacts with devices exploiting the time synchronized channel hopping protocol (TSCH), supported by WirelessHART (IEC 62591). The cloud platform augments industry-standard networking functions as it handles the delivery (or publishing) of latency and throughput-critical data by implementing a cooperative-multihop forwarding scheme. In addition, it supports distributed sensing functions through consensus-based algorithms. Experimental activities are presented to show the feasibility of the approach in two real industrial plant sites representative of typical indoor and outdoor environments. Validation of cooperative forwarding schemes shows substantial improvements compared with standard industrial solutions. Distributed sensing functions are developed to enable the autonomous identification of recurring cochannel interference patterns.

Keywords
Consensus-based distributed estimation, cooperative communication, dense cloud networks, industrial Internet of Things, industrial wireless sensor networks (IWSNs), interference detection, sensor-cloud networking
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33339 (URN)10.1109/TIM.2016.2640579 (DOI)000396397900003 ()2-s2.0-85013004966 (Scopus ID)
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-09-05Bibliographically approved
Ferrari, P., Sisinni, E., Brandão, D. & Rocha, M. (2017). Evaluation of communication latency in industrial IoT applications. In: 2017 IEEE International Workshop on Measurement and Networking, M and N 2017 - Proceedings: . Paper presented at 4th IEEE International Workshop on Measurement and Networking, M and N 2017, Naples, Italy, 27 September 2017 through 29 September 2017. , Article ID 8078359.
Open this publication in new window or tab >>Evaluation of communication latency in industrial IoT applications
2017 (English)In: 2017 IEEE International Workshop on Measurement and Networking, M and N 2017 - Proceedings, 2017, article id 8078359Conference paper, Published paper (Refereed)
Abstract [en]

The idea of Industry 4.0 includes the concept of Industrial Internet of Things (IIoT) that is the possibility for industrial devices to have Internet connection and share data. Huge amount of data are stored and analyzed in the Cloud to extract meaningful information to be sold as 'services'. Today, many Industry 4.0 scenarios do not require a short latency between data collection and output reaction, but it is expected that short latency services would be seen by the market as a distinctive quality. This paper deals with the estimation of latency in transferring data from the field (where the production takes place) to the Cloud and then back to field. Since IIoT natively refers to worldwide applications, the paper analyzes some cases where interacting nodes are deployed in different continents. The experimental results show that simple solutions based on widely accepted lightweight protocols (e.g. MQTT) and inexpensive industrial grade IoT devices are feasible. From the performance point of view, when using free access Cloud servers, they can achieve round trip latency down to 300 ms with standard deviation of about 20 ms over one-week observation time. 

Keywords
Automation Networks, Cloud computing, Distributed measurement systems, Industry 4.0, Node-RED
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33323 (URN)10.1109/IWMN.2017.8078359 (DOI)2-s2.0-85035771478 (Scopus ID)9781509056798 (ISBN)
Conference
4th IEEE International Workshop on Measurement and Networking, M and N 2017, Naples, Italy, 27 September 2017 through 29 September 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
Rizzi, M., Ferrari, P., Flammini, A. & Sisinni, E. (2017). Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications. IEEE Transactions on Instrumentation and Measurement, 66(12), 3340-3349, Article ID 8036410.
Open this publication in new window or tab >>Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications
2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 12, p. 3340-3349, article id 8036410Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) is based on data collection, where billions of sensors sample the real world; in other words, the IoT includes a giant distributed measurement system (DMS). A question still requiring an answer is: Are the IoT technologies usable to enhance traditional measurement systems, since they have been developed for a very similar objective? In this paper, the use of a long-range (LoRa) technology, originally developed for IoT, is investigated with the aim of implementing DMSs. After the conclusion that LoRa and LoRa wide area network architectures show a good match with measurement systems, this paper focuses on the characterization of time-related performance indicators that are important for distributed systems. The experimental results show the capability of low-cost transceiver to schedule the transmission of frames with a standard uncertainty less than 3 μs; and an acceptable long-term clock stability (Allan Deviation) of commercial available devices (nodes and packet forwarders) for application such as smart metering, smart building, and process industry. 

Keywords
Chirp spread spectrum (CSS), distributed measurement systems (DMMs), Internet of Things (IoT), long-range wide area network (LoRaWAN), wireless sensor networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33321 (URN)10.1109/TIM.2017.2746378 (DOI)000415112700024 ()2-s2.0-85030313704 (Scopus ID)
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-09-05Bibliographically approved
Flammini, A., Sisinni, E. & Tramarin, F. (2017). IEEE 802.11s performance assessment: From simulations to real-world experiments. In: 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC): . Paper presented at 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, Italy, 22-25 May 2017 (pp. 1-6). IEEE
Open this publication in new window or tab >>IEEE 802.11s performance assessment: From simulations to real-world experiments
2017 (English)In: 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE, 2017, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

In this work we aim at providing an initial analysis of the IEEE802.11s amendment that introduced support for mesh networking to Wireless LAN specifications. Indeed, there has been an increasing interest in the adoption of IEEE 802.11-based wireless systems also in the field of Distributed Measurement Systems (DMSs). Nonetheless, in such a scenario it is necessary to investigate the obtainable performance, in terms of latency, reliability and throughput. Toward this goal, we firstly considered the public available ns-3 IEEE 802.11s model, highlighting some details of the implemented design and also showing some of the unsupported features and open issues. Subsequently, we also leveraged on the mac80211 network emulation features embedded within the Linux kernel to test the mesh extensions included in Linux systems. Finally, using low-cost COTS hardware, exploiting the same mesh stack, we developed a real-world test bench allowing an experimental performance assessment. Results obtained from the presented setups are thus compared, and some open issues are finally discussed.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Linux, computer network reliability, wireless LAN, wireless mesh networks, COTS hardware, DMS, IEEE 802.11-based wireless system, Linux kernel system, distributed measurement system, mac80211 network emulation, mesh networking, ns-3 IEEE 802.11s model, reliability, wireless LAN specification, IEEE 802.11 Standard, Peer-to-peer computing, Protocols, Wireless communication, IEEE802.11, Performance assessment, Simulation, WLAN
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33338 (URN)10.1109/I2MTC.2017.7969752 (DOI)
Conference
2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, Italy, 22-25 May 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
Crema, C., Depari, A., Flammini, A., Sisinni, E., Haslwanter, T. & Salzmann, S. (2017). IMU-based solution for automatic detection and classification of exercises in the fitness scenario. In: SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings: . Paper presented at 12th IEEE Sensors Applications Symposium, SAS 2017, Glassboro, NJ, United States, 13 March 2017 through 15 March 2017. IEEE, Article ID 7894068.
Open this publication in new window or tab >>IMU-based solution for automatic detection and classification of exercises in the fitness scenario
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2017 (English)In: SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings, IEEE, 2017, article id 7894068Conference paper, Published paper (Refereed)
Abstract [en]

Causal relationship between physical activity and prevention of several diseases has been known for some time. Recently, attempts to quantify dose-response relationship between physical activity and health show that automatic tracking and quantification of the exercise efforts not only help in motivating people but improve health conditions as well. However, no commercial devices are available for weight training and calisthenics. This work tries to overcome this limit, exploiting machine learning technique (particularly Linear Discriminant Analysis, LDA) for analyzing data coming from wearable inertial measurement units, (IMUs) and classifying/counting such exercises. Computational requirements are compatible with embedded implementation and reported results confirm the feasibility of the proposed approach, offering an average accuracy in the detection of exercises on the order of 85%.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
data classification, IMU, machine learning, Mhealth, wearables
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33340 (URN)10.1109/SAS.2017.7894068 (DOI)000403394500037 ()2-s2.0-85018299226 (Scopus ID)9781509032020 (ISBN)
Conference
12th IEEE Sensors Applications Symposium, SAS 2017, Glassboro, NJ, United States, 13 March 2017 through 15 March 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-09-05Bibliographically approved
Barile, G., Ferri, G., Parente, F. R., Stornelli, V., Depari, A., Flammini, A. & Sisinni, E. (2017). Linear Integrated Interface for Automatic Differential Capacitive Sensing. In: Proceedings, Volume 1, Eurosensors 2017: . Paper presented at Eurosensors 2017 Conference, Paris, France, 3–6 September 2017. , 1(4)
Open this publication in new window or tab >>Linear Integrated Interface for Automatic Differential Capacitive Sensing
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2017 (English)In: Proceedings, Volume 1, Eurosensors 2017, 2017, Vol. 1, no 4Conference paper, Published paper (Other academic)
Abstract [en]

In this work, the authors introduce a new full-analog front-end for differential capacitance sensors which provides a DC output voltage, directly proportional to the measurand variations. The readout circuit architecture is based on a De Sauty bridge as core of the capacitive sensing whereas the feedback circuitry performs the bridge autobalancing operation by means of changes in a multiplier output. The circuit is designed in a standard CMOS technology (AMS 0.35 µm) so is suitable for portable systems. Simulated results have shown a good agreement with the theoretical model being the percentage relative error less than 2.5%. Interface sensitivity is constant and values around 0.055 V/mm for the considered application.

Keywords
differential capacitance sensors, bridge-based circuits, CMOS technology, sensor interfaces
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33332 (URN)10.3390/proceedings1040592 (DOI)
Conference
Eurosensors 2017 Conference, Paris, France, 3–6 September 2017
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
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