mdh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 120) Show all publications
Lindén, M. & Björkman, M. (2019). Experience from industrial graduate (PhD) schools. In: IFMBE Proceedings: . Paper presented at World Congress on Medical Physics and Biomedical Engineering, WC 2018, 3 June 2018 through 8 June 2018 (pp. 731-733). Springer Verlag (3)
Open this publication in new window or tab >>Experience from industrial graduate (PhD) schools
2019 (English)In: IFMBE Proceedings, Springer Verlag , 2019, no 3, p. 731-733Conference paper, Published paper (Refereed)
Abstract [en]

Traditionally, research education is performed within the universities, and the PhD students are working within a research group. However, technical development and also research is performed within companies, and the need to keep up with the latest findings in research and to strengthen the competence within the private business sector is increasing. At Mälardalen University, we have experience from working in several Industrial Graduate Schools. The collaboration with the companies gets intensified and deepened trough such programmes, and the university tends to keep the good contact with previous PhD students and their companies also many years after their graduation. The Graduate Schools also give the companies good insight in the university world. Presently, we are involved in two Graduate Schools, and several of the PhD projects are focusing within Biomedical Engineering. Further, one of the graduate schools is linked to the research profile Embedded Sensor Systems for Health, which is supported from the same financier. Companies are involved also in the research profile, and through these activities, the Industrial PhD students form a critical mass and can exchange both experience and knowledge with other companies and with university researchers.

Place, publisher, year, edition, pages
Springer Verlag, 2019
Keywords
Collaboration with industry, Industrial graduate school, Biomedical engineering, Embedded systems, Knowledge management, Students, Business sector, Collaboration with industries, Critical mass, Embedded sensors, Graduate schools, Research groups, Technical development, University researchers, Industrial research
National Category
Embedded Systems
Identifiers
urn:nbn:se:mdh:diva-39978 (URN)10.1007/978-981-10-9023-3_132 (DOI)000449744300132 ()2-s2.0-85048251456 (Scopus ID)
Conference
World Congress on Medical Physics and Biomedical Engineering, WC 2018, 3 June 2018 through 8 June 2018
Available from: 2018-06-21 Created: 2018-06-21 Last updated: 2018-11-29Bibliographically approved
Vahabi, M., Fotouhi, H. & Björkman, M. (2019). FIREWORK: Fog orchestration for secure IoT networks. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284: . Paper presented at Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019 (pp. 311-317).
Open this publication in new window or tab >>FIREWORK: Fog orchestration for secure IoT networks
2019 (English)In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284, 2019, p. 311-317Conference paper, Published paper (Refereed)
Abstract [en]

Recent advances in Internet of Things (IoT) connectivity have made IoT devices prone to Cyber attacks. Moreover, vendors are eager to provide autonomous and open source device, which in turn adds more security threat to the system. In this paper, we consider network traffic attack, and provide a Fog-assisted solution, dubbed as FIRE- WORK, that reduces risk of security attacks by periodically monitor- ing network traffic, and applying traffic isolation techniques to overcome network congestion and performance degradation.

National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-43932 (URN)10.1007/978-3-030-21373-2_23 (DOI)9783030213732 (ISBN)
Conference
Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileFuture factories in the CloudMobiFog: mobility management in Fog-assisted IoT networks
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2019-06-19Bibliographically approved
Tran, H. V., Åkerberg, J., Björkman, M. & Tran, H.-V. (2019). RF energy harvesting: an analysis of wireless sensor networks for reliable communication. Wireless networks, 25(1), 185-199
Open this publication in new window or tab >>RF energy harvesting: an analysis of wireless sensor networks for reliable communication
2019 (English)In: Wireless networks, ISSN 1022-0038, E-ISSN 1572-8196, Vol. 25, no 1, p. 185-199Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider a wireless energy harvesting network consisting of one hybrid access point (HAP) having multiple antennas, and multiple sensor nodes each equipped with a single antenna. In contrast to conventional uplink wireless networks, the sensor nodes in the considered network have no embedded energy supply. They need to recharge the energy from the wireless signals broadcasted by the HAP in order to communicate. Based on the point-to-point and multipoints-to-point model, we propose two medium access control protocols, namely harvesting at the header of timeslot (HHT) and harvesting at the dedicated timeslot (HDT), in which the sensor nodes harvest energy from the HAP in the downlink, and then transform its stored packet into bit streams to send to the HAP in the uplink. Considering a deadline for each packet, the cumulative distribution functions of packet transmission time of the proposed protocols are derived for the selection combining and maximal ratio combining (MRC) techniques at the HAP. Subsequently, analytical expressions for the packet timeout probability and system reliability are obtained to analyze the performance of proposed protocols. Analytical results are validated by numerical simulations. The impacts of the system parameters, such as energy harvesting efficiency coefficient, sensor positions, transmit signal-to-noise ratio, and the length of energy harvesting time on the packet timeout probability and the system reliability are extensively investigated. Our results show that the performance of the HDT protocol outperforms the one using the HHT protocol, and the HDT protocol with the MRC technique has the best performance and it can be a potential solution to enhance the reliability for wireless sensor networks.

Place, publisher, year, edition, pages
SPRINGER, 2019
Keywords
Energy harvesting, Wireless power transfer, Wireless sensor networks, Packet transmission time, Reliable communication
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-42765 (URN)10.1007/s11276-017-1546-6 (DOI)000457945500014 ()2-s2.0-85025069932 (Scopus ID)
Projects
SafeCOP - Safe Cooperating Cyber-Physical Systems using Wireless Communication
Funder
EU, Horizon 2020, 692529 Vinnova
Available from: 2019-02-22 Created: 2019-02-22 Last updated: 2019-04-16Bibliographically approved
Gardasevic, G., Fotouhi, H., Tomasic, I., Vahabi, M., Björkman, M. & Lindén, M. (2018). A Heterogeneous IoT-based Architecture for Remote Monitoring of Physiological and Environmental Parameters. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225: . Paper presented at 4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France (pp. 48-53).
Open this publication in new window or tab >>A Heterogeneous IoT-based Architecture for Remote Monitoring of Physiological and Environmental Parameters
Show others...
2018 (English)In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225, 2018, p. 48-53Conference paper, Published paper (Refereed)
Abstract [en]

A heterogeneous Internet of Things (IoT) architecture for remote health monitoring (RHM) is proposed, that employs Bluetooth and IEEE 802.15.4 wireless connectivity. The RHM system encompasses Shimmer physiological sensors with Bluetooth radio, and OpenMote environmental sensors with IEEE 802.15.4 radio. This system architecture collects measurements in a relational database in a local server to implement a Fog node for fast data analysis as well as in a remote server in the Cloud. 

National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-37078 (URN)10.1007/978-3-319-76213-5_7 (DOI)2-s2.0-85042550307 (Scopus ID)9783319762128 (ISBN)
Conference
4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileREADY - Research Environment for Advancing Low Latency Internetecare@homeFuture factories in the Cloud
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-03-08Bibliographically approved
Abrahamsson, H., Abdesslem, F. B., Ahlgren, B., Brunstrom, A., Marsh, I. & Björkman, M. (2018). Connected Vehicles in Cellular Networks: Multi-Access Versus Single-Access Performance. In: TMA 2018 - Proceedings of the 2nd Network Traffic Measurement and Analysis Conference: . Paper presented at 2nd Network Traffic Measurement and Analysis Conference, TMA 2018; Vienna; Austria; 26 June 2018 through 29 June 2018; Category numberCFP18K29-ART; Code 141481. Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Connected Vehicles in Cellular Networks: Multi-Access Versus Single-Access Performance
Show others...
2018 (English)In: TMA 2018 - Proceedings of the 2nd Network Traffic Measurement and Analysis Conference, Institute of Electrical and Electronics Engineers Inc. , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Connected vehicles can make roads traffic safer and more efficient, but require the mobile networks to handle time-critical applications. Using the MONROE mobile broadband measurement testbed we conduct a multi-access measurement study on buses. The objective is to understand what network performance connected vehicles can expect in today's mobile networks, in terms of transaction times and availability. The goal is also to understand to what extent access to several operators in parallel can improve communication performance. In our measurement experiments we repeatedly transfer warning messages from moving buses to a stationary server. We triplicate the messages and always perform three transactions in parallel over three different cellular operators. This creates a dataset with which we can compare the operators in an objective way and with which we can study the potential for multi-access. In this paper we use the triple-access dataset to evaluate single-access selection strategies, where one operator is chosen for each transaction. We show that if we have access to three operators and for each transaction choose the operator with best access technology and best signal quality then we can significantly improve availability and transaction times compared to the individual operators. The median transaction time improves with 6% compared to the best single operator and with 61% compared to the worst single operator. The 90-percentile transaction time improves with 23% compared to the best single operator and with 65% compared to the worst single operator.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Mobile telecommunication systems, Wireless networks, Access technology, Cellular operators, Communication performance, Connected vehicles, Measurement experiments, Measurement study, Stationary servers, Time-critical applications, Vehicle performance
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-42264 (URN)10.23919/TMA.2018.8506559 (DOI)000454696100027 ()2-s2.0-85057241219 (Scopus ID)9783903176096 (ISBN)
Conference
2nd Network Traffic Measurement and Analysis Conference, TMA 2018; Vienna; Austria; 26 June 2018 through 29 June 2018; Category numberCFP18K29-ART; Code 141481
Available from: 2019-01-04 Created: 2019-01-04 Last updated: 2019-01-17Bibliographically approved
Björkman, M. & Lindén, M. (2018). Cooperation between academia and industry within embedded sensor systems. In: World Congress on Medical Physics and Biomedical Engineering IUPESM 2018: . Paper presented at World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 03 Jun 2018, Prague, Czech Republic. , 68(1)
Open this publication in new window or tab >>Cooperation between academia and industry within embedded sensor systems
2018 (English)In: World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 2018, Vol. 68, no 1Conference paper, Published paper (Refereed)
National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-41743 (URN)
Conference
World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 03 Jun 2018, Prague, Czech Republic
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2018-12-20Bibliographically approved
Ericsson, N., Lennvall, T., Åkerberg, J. & Björkman, M. (2018). Custom simulation of Industrial Wireless Sensor and Actuator Network for improved efficiency during Research and Development. In: : . Paper presented at IEEE International Conference on Emerging Technologies and Factory Automation, Limassol, Cyprus, September, 2017. IEEE
Open this publication in new window or tab >>Custom simulation of Industrial Wireless Sensor and Actuator Network for improved efficiency during Research and Development
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Trends like the Cloud, Internet of Things and 5G are pushing for an increase in connectivity, but, introducing a new type of network in an industrial distributed control system is a big investment with high risks. Time to market with sufficient quality is crucial. However, when getting through the Research and Development (R&D) phases, a lot of time is spent on isolated activates, e.g., simulations, collecting requirements, design, coding, debugging, creating testbeds, and performing various tests. Therefore, there is a need to improve efficiency when moving between the R&D phases. For verification and validation of communication software, the most common network evaluation method in industry are real testbeds, mostly since a testbed can be very similar to the deployed system. Testbeds are, however, hard to debug and costly to maintain. Other network evaluation methods like simulators, have some strengths that testbeds are lacking, like repeatability, control over the network, and lower cost. However, code from simulators can seldom be reused, especially in industrial time-sensitive target systems, due to different abstraction levels, run-time behavior and system timing. This paper presents findings from a case study that targets improved efficiency, getting from research theories, to deployed devices in a homogeneous Industrial Wireless Sensor and Actuator Network (IWSAN). We propose a small subset of network simulators features which eases changeability, reuse, and debugging of communication software. The selected simulator features are evaluated with a proof of concept implementation that is customized to a research platform. The findings indicate improved efficiency when moving back and forth between activities in different R&D phases.

Place, publisher, year, edition, pages
IEEE, 2018. p. 8
National Category
Computer Sciences
Identifiers
urn:nbn:se:mdh:diva-37210 (URN)10.1109/ETFA.2017.8247657 (DOI)000427812000092 ()2-s2.0-85044463234 (Scopus ID)9781509065059 (ISBN)
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, Limassol, Cyprus, September, 2017
Available from: 2017-11-05 Created: 2017-11-05 Last updated: 2019-01-25Bibliographically approved
Lindén, M. & Björkman, M. (2018). Embedded Sensor Systems for Health. In: World Congress on Medical Physics and Biomedical Engineering IUPESM 2018: . Paper presented at World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 03 Jun 2018, Prague, Czech Republic. (1)
Open this publication in new window or tab >>Embedded Sensor Systems for Health
2018 (English)In: World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 2018, no 1Conference paper, Published paper (Refereed)
National Category
Engineering and Technology Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-41741 (URN)
Conference
World Congress on Medical Physics and Biomedical Engineering IUPESM 2018, 03 Jun 2018, Prague, Czech Republic
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-18Bibliographically approved
Lindén, M. & Björkman, M. (2018). Embedded sensor systems for health-A step towards personalized health. In: Studies in Health Technology and Informatics: . Paper presented at 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2018; Gjovik; Norway; 12 June 2018 through 14 June 2018 (pp. 69-74). IOS Press, 249
Open this publication in new window or tab >>Embedded sensor systems for health-A step towards personalized health
2018 (English)In: Studies in Health Technology and Informatics, IOS Press , 2018, Vol. 249, p. 69-74Conference paper, Published paper (Refereed)
Abstract [en]

The demography is changing towards older people, and the challenge to provide an appropriate care is well known. Sensor systems, combined with IT solutions are recognized as one of the major tools to handle this situation. Embedded Sensor Systems for Health (ESS-H) is a research profile at Mälardalen University in Sweden, focusing on embedded sensor systems for health technology applications. The research addresses several important issues: To provide sensor systems for health monitoring at home, to provide sensor systems for health monitoring at work, to provide safe and secure infrastructure and software testing methods for physiological data management. The user perspective is important in order to solve real problems and to develop systems that are easy and intuitive to use. One of the overall aims is to enable health trend monitoring in home environments, thus being able to detect early deterioration of a patient. Sensor systems, signal processing algorithms, and decision support algorithms have been developed. Work on development of safe and secure infrastructure and software testing methods are important for an embedded sensor system aimed for health monitoring, both in home and in work applications. Patient data must be sent and received in a safe and secure manner, also fulfilling the integrity criteria.

Place, publisher, year, edition, pages
IOS Press, 2018
Keywords
Chronic disease, Embedded sensor system, Multi diseased, Multi-sensor
National Category
Embedded Systems
Identifiers
urn:nbn:se:mdh:diva-40239 (URN)10.3233/978-1-61499-868-6-69 (DOI)2-s2.0-85049011954 (Scopus ID)9781614998679 (ISBN)
Conference
15th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2018; Gjovik; Norway; 12 June 2018 through 14 June 2018
Available from: 2018-07-12 Created: 2018-07-12 Last updated: 2018-12-18Bibliographically approved
Lindén, M. & Björkman, M. (2018). Inbyggda Sensorsystem för hälsa - teknik som stödjer trendmonitorering i hemmet. In: Medicinteknikdagarna 2018 MTD 2018: . Paper presented at Medicinteknikdagarna 2018 MTD 2018, 08 Oct 2018, Umeå, Sweden. Umeå, Sweden
Open this publication in new window or tab >>Inbyggda Sensorsystem för hälsa - teknik som stödjer trendmonitorering i hemmet
2018 (English)In: Medicinteknikdagarna 2018 MTD 2018, Umeå, Sweden, 2018Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Umeå, Sweden: , 2018
National Category
Engineering and Technology Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-41737 (URN)
Conference
Medicinteknikdagarna 2018 MTD 2018, 08 Oct 2018, Umeå, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2018-12-21 Created: 2018-12-21 Last updated: 2018-12-21Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2419-2735

Search in DiVA

Show all publications