Smart sensors and IoT

Internet of Things is a future technology that will enable connected healthcare, smart homes, smart cities, and be a key factor in the next industrial revolution (Industry 4.0). According to Gartner, the number of connected devices will reach 20.6 billion by 2020.

The work done at EDI on IoT and Wireless Sensor Networks (WSN) spans multiple application areas, such as wearable and other devices for eHealth (CONVERGENCE, FEATURE, COV-CLEAN), smart cities and infrastructures (iTrEMP, SOPHIS, 3D FABRIC, Arrowhead-Tools, INTKO, DEWI), environmental monitoring (JurSens), agriculture (SARA), and industrial or transport-related cyber-physical systems (I-MECH, ENACT). Through these IoT research projects from Horizon2020 and other programmes we have successfully cooperated with a number of European and national technology companies (Gefran, Nexperia, INDRA and others) and academic institutions (University of Latvia, Riga Technical University, University of Bristol and others).

The expertise of EDI includes:

• Design of custom embedded IoT hardware and sensors
• Software development for networked embedded systems, including the Contiki-NG and MansOS operating systems
• Low-power wireless communication protocols (Bluetooth Low Energy, IEEE 802.15.4 TSCH, LoRa/LoRaWAN and others)

The EDI infrastructure features a 100+ node IoT testbed with protocol and device testing & debugging capabilities, including dedicated hardware for energy consumption tracing on each node.

Highlights of IoT research topics at EDI include:

• Inertial sensor systems with applications in healthcare (posture monitoring, rehabilitation and others) and infrastructure monitoring
• Reliable and energy-efficient data collection from wearable devices using the IEEE 802.15.4 TSCH and Bluetooth Low Energy protocols
• Enabling robust, trustworthy and secure IoT systems through applications of the DevOps paradigm
• Converting IoT sensor data into useful information through machine learning
• Efficient machine learning methods and applications for resource constrained embedded systems
• Research and development of novel capabilities of the EDI IoT testbed

Projects

• 3D shape sensing fabric (3D FABRIC) #ESIF
• Arrowhead-Tools for Engineering of Digitalisation Solutions (Arrowhead-Tools) #H2020
• Cyber-physical systems, ontologies and biophotonics for safe&smart city and society (VPP SOPHIS) #SRP (VPP)
• Dependable Embedded Wireless Infrastructure (DEWI) #SRP (VPP)
• Development of technologies for cyber physical systems with applications in medicine and smart transport (KiFiS) #SRP (VPP)
• Energy-efficient health and behavior monitoring with wearable devices and the Internet of Things (FEATURE) #ESIF
• Frictionless Energy Efficient Convergent Wearables For Healthcare and Lifestyle Applications (CONVERGENCE) #Chist-era / Flag-era
• Wireless sensor network for train integrity control (INTKO) #ESIF
• Trustworthy and Smart Actuation in IoT systems (ENACT) #H2020
• Smart City Technologies for Human Lives Improvements (ViPTeh) #ESIF
• R&D Center for Smart Sensors and Networked Embedded Systems (VieSenTIS) #ESIF
• Intelligent Motion Control Platform for Smart Mechatronic Systems (I-MECH) #H2020

Recent publications

• HERMANIS, A., GREITANE, A., GEIDĀNE, S., ANCĀNS, A., CACURS, R., GREITĀNS, M., 2015. Wearable Head and Back Posture Feedback System For Children With Cerebral Palsy, Abstract: Journal of Rehabilitation Medicine (ISSN 1650-1977).
• A. Hermanis, K. Nesenbergs, R. Cacurs, and M. Greitans, "Wearable Posture Monitoring System with Biofeedback via Smartphone", Journal of Medical and Bioengineering, (ISSN: 2301-3796), March 2013, Vol. 2, no. 1, pp.40-44, 2013
• HERMANIS, A., CACURS, R., NESENBERGS, K., GREITANS, M., SYUNDYKOV, E., and SELAVO, L., 2015. Wearable sensor grid architecture for body posture and surface detection and rehabilitation. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks (IPSN '15). ACM, Seattle, WA, USA, 414-415.
• NESENBERGS K. 2016 “Architecture of smart clothing for standardized wearable sensor systems.” IEEE Instrumentation & Measurement Magazine Volume 19, Issue 5 (2016), pp. 36-64. DOI: 10.1109/MIM.2016.7579068 , http://ieeexplore.ieee.org/document/7579068/
• NESENBERGS, K., SELAVO, L., 2015. Smart textiles for wearable sensor networks: Review and early lessons. In Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on (pp. 402-406).
• J. Ormanis, K. Nesenbergs. “Human skin as data transmission medium for improved privacy and usability in wearable electronics”, In Medical Measurements and Applications (MeMeA), 2018 IEEE International Symposium on, pages 1–6. IEEE.
• HERMANIS, A., CACURS, R., NESENBERGS, K., GREITANS, M., SYUNDYUKOV, E., SELAVO, L., 2016. Demo: Wearable sensor System for Human Biomehanics Monitoring. Rroceeding of the 2016 International Conference on Embeded Wireless Systems and Networks, pp 247-248.
• G. Strazdins, A. Elsts and L. Selavo. MansOS: Easy toUse, Portable and Resource Efficient Operating System for Networked Embedded Devices. Proc. of the 8th ACM Conference on Embedded Networked Sensor Systems SenSys '10, ACM, New York, NY, USA, 2010, pp. 427-428.
• A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, and L. Selavo. Real Time Pothole Detection using Android Smartphones with Accelerometers. Proc. of the 2nd International Workshop on Mobility in Wireless Sensor Networks (MobiSensor 2011), Barcelona, Spain, pp.1-6, June, 2011.
• Barkovskis N., Salmins A., Ozols K., García M.A.M., Ayuso F.P., WSN based on accelerometer, GPS and RSSI measurements for train integrity monitoring, 2017 4th International Conference on Control, Decision and Information Technologies, Barcelona, 2017
• A. Elsts, J. Judvaitis and L. Selavo, „SEAL: a Domain-Specific Language for Novice Wireless Sensor Network Programmers”, 39th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2013), Proceedings, Santander, Spain, 2013.
• J. Judvaitis, A. Elsts and L. Selavo, “Demo Abstract: SEAL-Blockly: Sensor Network Visual Programming Using a Web Browser”, 10th European Conference on Wireless Sensor Networks (EWSN 2013), Poster and Demo Proceedings, Ghent, Belgium, 2013.
• SALMINS, A., OZOLS, K., RUSKULS, R., 2015. Data Management in TestBed for Large Scale Wireless Sensor Networks. RTUWO 2015: Advances in Wireless and Optical Communications, Riga, Latvia, November 5-6, 2015
• RUSKULS, R., LAPSA, D., SELAVO, L., 2015. EDI WSN Testbed: Multifunctional, 3D Wireless Sensor Network Testbed, Proceedings of Advances in Wireless and Optical Communications (RTUWO 2015), Riga, Latvia, 5-6 November, 2015;
• D. Lapsa, R. Balass, J. Judvaitis, K. Nesenbergs and A. Skageris. “Power Consumption Measurement of Tested Units in the WSN TestBed”. TELFOR, 2017
• Judvaitis J., Salmins A., Nesenbergs K. (2016) Network Data Traffic Management Inside a TestBed. RTUWO 2016 Advances in Wireless and Optical Communications, 3-4. nov. 2016 Riga, Latvia., http://ieeexplore.ieee.org/document/7821874/; DOI: 10.1109/RTUWO.2016.7821874 ; ISBN: 978-1-5090-1535-1.
• A. Salmins, J. Judvaitis, R. Balass and K. Nesenbergs. “Mobile wireless sensor network TestBed”. TELFOR, 2017
• Didzis Lapsa, Rihards Balass, Janis Judvaitis, Krisjanis Nesenbergs. Measurement of current consumption in a wireless sensor network TestBed. Published in: 2017 25th Telecommunication Forum (TELFOR). DOI: 10.1109/TELFOR.2017.8249408