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Jennehag, Ulf
Publications (10 of 46) Show all publications
Forsström, S. & Jennehag, U. (2019). An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents. In: COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems: . Paper presented at International Conference on Omni-Layer Intelligent Systems (pp. 116-121). ACM Digital Library, F148162
Open this publication in new window or tab >>An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents
2019 (English)In: COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems, ACM Digital Library, 2019, Vol. F148162, p. 116-121Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a system for creating an implemented open energy market for future smart grid systems, microgrids, the Internet of Things, and the Industrial Internet of Things. We also investigate and analyze different aspects of blockchain technologies for this purpose in order to choose the appropriate methods, technologies, and approaches for realizing and implementing the system as an open source project. Based on this analysis, we present our resulting functional implementation of this energy market. Including measurements and a quantitative evaluation of the implementation itself. Showing the potential of the approach, where this implantation can be applied, showing its drawbacks, and finally our planned future work.

Place, publisher, year, edition, pages
ACM Digital Library, 2019
Keywords
Blockchain, Smart grid, Microgrids, Internet of Things, Industrial Internet of Things, Open source
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-36032 (URN)10.1145/3312614.3312641 (DOI)2-s2.0-85066794658 (Scopus ID)978-1-4503-6640-3 (ISBN)
Conference
International Conference on Omni-Layer Intelligent Systems
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-04-24 Created: 2019-04-24 Last updated: 2019-09-09Bibliographically approved
Pau, G., Ferrero, R., Jennehag, U. & Zhang, H. (2019). Emerging applications through low-power wireless technologies for Internet of Things. International Journal of Distributed Sensor Networks, 15(3)
Open this publication in new window or tab >>Emerging applications through low-power wireless technologies for Internet of Things
2019 (English)In: International Journal of Distributed Sensor Networks, ISSN 1550-1329, E-ISSN 1550-1477, Vol. 15, no 3Article in journal, Editorial material (Refereed) Published
Identifiers
urn:nbn:se:miun:diva-35862 (URN)10.1177/1550147719835692 (DOI)000460633600001 ()2-s2.0-85062602952 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-03-25 Created: 2019-03-25 Last updated: 2019-09-19Bibliographically approved
Gebremichael, T., Jennehag, U. & Gidlund, M. (2019). Lightweight IoT Group Key Establishment Scheme from the One Time Pad. In: 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud): . Paper presented at 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), Newark, CA, USA, 4-9 April 2019. IEEE
Open this publication in new window or tab >>Lightweight IoT Group Key Establishment Scheme from the One Time Pad
2019 (English)In: 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), IEEE, 2019Conference paper, Published paper (Other academic)
Abstract [en]

Secure group communication in the Internet ofThings (IoT) entails the establishment and management of one or more group keys to provide group security services such as confidentiality of group messages. The main challenges in establishing a group key consist in designing a group key establishment scheme that is feasible for nodes with limited computational capabilities. In this paper, we propose a lightweight group key establishment scheme based on fast symmetric-key encryption. We show a mechanism for designing a lightweight and secure IoT group key establishment and management scheme whose security is underpinned by the perfect secrecy provided by the One-time-pad. We then argue that the scheme is convenient for IoT group applications where nodes are resource-constrained. We prove that our scheme is secure under a threat model where the attacker has sufficiently large computational power. We also prove that the scheme provides desired group security properties such as confidentiality, key secrecy and independent group session keys generation.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
IoT Group Key, One-time Pad, Lightweight Cryptography, Unconditional Security, IoT Security and Privacy
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-35608 (URN)10.1109/MobileCloud.2019.00021 (DOI)
Conference
2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), Newark, CA, USA, 4-9 April 2019
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2019-02-07 Created: 2019-02-07 Last updated: 2019-09-09Bibliographically approved
Forsström, S., Butun, I., Eldefrawy, M., Jennehag, U. & Gidlund, M. (2018). Challenges of Securing the Industrial Internet of Things Value Chain. In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings: . Paper presented at 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018 (pp. 218-223). IEEE, Article ID 8428344.
Open this publication in new window or tab >>Challenges of Securing the Industrial Internet of Things Value Chain
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2018 (English)In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, IEEE, 2018, p. 218-223, article id 8428344Conference paper, Published paper (Refereed)
Abstract [en]

We see a shift from todays Internet-of-Things (IoT)to include more industrial equipment and metrology systems,forming the Industrial Internet of Things (IIoT). However, thisleads to many concerns related to confidentiality, integrity,availability, privacy and non-repudiation. Hence, there is a needto secure the IIoT in order to cater for a future with smart grids,smart metering, smart factories, smart cities, and smart manufacturing.It is therefore important to research IIoT technologiesand to create order in this chaos, especially when it comes tosecuring communication, resilient wireless networks, protectingindustrial data, and safely storing industrial intellectual propertyin cloud systems. This research therefore presents the challenges,needs, and requirements of industrial applications when it comesto securing IIoT systems.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Security, IoT, IIoT, Industry 4.0, vulnerabilities, trust, metering, metrology, application, end-device
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33653 (URN)10.1109/METROI4.2018.8428344 (DOI)2-s2.0-85052506472 (Scopus ID)978-1-5386-2497-5 (ISBN)978-1-5386-2498-2 (ISBN)
Conference
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2019-09-09Bibliographically approved
Lavassani, M., Forsström, S., Jennehag, U. & Zhang, T. (2018). Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT. Sensors, 18(5), Article ID 1532.
Open this publication in new window or tab >>Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT
2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 5, article id 1532Article in journal (Refereed) Published
Abstract [en]

Digitalization is a global trend becoming ever more important to our connected and sustainable society. This trend also affects industry where the Industrial Internet of Things is an important part, and there is a need to conserve spectrum as well as energy when communicating data to a fog or cloud back-end system. In this paper we investigate the benefits of fog computing by proposing a novel distributed learning model on the sensor device and simulating the data stream in the fog, instead of transmitting all raw sensor values to the cloud back-end. To save energy and to communicate as few packets as possible, the updated parameters of the learned model at the sensor device are communicated in longer time intervals to a fog computing system. The proposed framework is implemented and tested in a real world testbed in order to make quantitative measurements and evaluate the system. Our results show that the proposed model can achieve a 98% decrease in the number of packets sent over the wireless link, and the fog node can still simulate the data stream with an acceptable accuracy of 97%. We also observe an end-to-end delay of 180 ms in our proposed three-layer framework. Hence, the framework shows that a combination of fog and cloud computing with a distributed data modeling at the sensor device for wireless sensor networks can be beneficial for Industrial Internet of Things applications.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
data mining, fog computing, IoT, online learning, monitoring
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-33609 (URN)10.3390/s18051532 (DOI)000435580300231 ()29757227 (PubMedID)2-s2.0-85047063861 (Scopus ID)
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Funder
Knowledge Foundation, 20150363, 20140321, and 20140319
Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2019-09-09Bibliographically approved
Zanni, A., Forsström, S., Jennehag, U. & Bellavista, P. (2018). Elastic Provisioning of Internet of Things Services using Fog Computing: an Experience Report. In: 2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud): . Paper presented at 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (pp. 17-22). IEEE
Open this publication in new window or tab >>Elastic Provisioning of Internet of Things Services using Fog Computing: an Experience Report
2018 (English)In: 2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), IEEE, 2018, p. 17-22Conference paper, Published paper (Refereed)
Abstract [en]

The adoption of cloud and fog computing techniquesfor elastic provisioning of quality-constrained industrial Internet of Things (IoT) services is largely envisioned as very promising, but experience reports and lessons learned from real deployment still lack. To fill this gap, this paper presents andreports the evaluation of a system consisting of virtual services in a combined fog, cloud, and IoT setting, made up of multiple devices with varying computation capabilities. In particular,we have utilized and integrated off-the-shelf solutions into our architecture and have experimentally investigated the benefits of virtualization to move and redeploy mobile components to the fog nodes closest to the targeted end devices. In addition, the paper proposes an original solution to dynamically scale and provision the resources for the fog computing layer by using geometric monitoring. The reported results show the feasibility and efficiency of the proposed exploitation of both fog and cloud virtualized resources to enable scalability in the domain of IoT-assisted mobile presence services.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Arduino, containerization, Elasticity, Experience Report, fog computing, Internet of things, orchestration, RaspberriPi
National Category
Computer Engineering
Identifiers
urn:nbn:se:miun:diva-33655 (URN)10.1109/MobileCloud.2018.00011 (DOI)2-s2.0-85049605491 (Scopus ID)978-1-5386-4879-7 (ISBN)978-1-5386-4880-3 (ISBN)
Conference
6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2018-09-28Bibliographically 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
Beltramelli, L., Mahmood, A., Gidlund, M., Österberg, P. & Jennehag, U. (2018). Interference Modelling in a Multi-Cell LoRa System. In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob): . Paper presented at The 14th International Conference on Wireless and Mobile Computing, Networking and Communications, Limassol, Cyprus, October 15-17, 2018. IEEE
Open this publication in new window or tab >>Interference Modelling in a Multi-Cell LoRa System
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2018 (English)In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

As the market for low-power wide-area network (LPWAN) technologies expands and the number of connected devices increases, it is becoming important to investigate the performance of LPWAN candidate technologies in dense deployment scenarios. In dense deployments, where the networks usually exhibit the traits of an interference-limited system, a detailed intra- and inter-cell interference analysis of LPWANs is required. In this paper, we model and analyze the performance of uplink communication of a LoRa link in a multi-cell LoRa system. To such end, we use mathematical tools from stochastic geometry and geometric probability to model the spatial distribution of LoRa devices. The model captures the effects of the density of LoRa cells and the allocation of quasi-orthogonal spreading factors (SF) on the success probability of the LoRa transmissions. To account for practical deployment of LoRa gateways, we model the spatial distribution of the gateways with a Poisson point process (PPP) and Matèrn hard-core point process (MHC). Using our analytical formulation, we find the uplink performance in terms of success probability and potential throughput for each of the available SF in LoRa’s physical layer. Our results show that in dense multi-cell LoRa deployment with uplink traffic, the intercell interference noticeably degrades the system performance.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
stochastic geometry, interference modelling, LoRa
National Category
Communication Systems Computer Systems Telecommunications
Identifiers
urn:nbn:se:miun:diva-34715 (URN)10.1109/WiMOB.2018.8589100 (DOI)000459858400010 ()2-s2.0-85060784032 (Scopus ID)978-1-5386-6876-4 (ISBN)
Conference
The 14th International Conference on Wireless and Mobile Computing, Networking and Communications, Limassol, Cyprus, October 15-17, 2018
Projects
TIMELINESS
Funder
Knowledge Foundation
Available from: 2018-10-12 Created: 2018-10-12 Last updated: 2019-03-19Bibliographically approved
Conti, C., Soares, L. D., Nunes, P., Perra, C., Assunção, P. A., Sjöström, M., . . . Jennehag, U. (2018). Light Field Image Compression. In: Assunção, Pedro Amado, Gotchev, Atanas (Ed.), 3D Visual Content Creation, Coding and Delivery: (pp. 143-176). Cham: Springer
Open this publication in new window or tab >>Light Field Image Compression
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2018 (English)In: 3D Visual Content Creation, Coding and Delivery / [ed] Assunção, Pedro Amado, Gotchev, Atanas, Cham: Springer, 2018, p. 143-176Chapter in book (Refereed)
Place, publisher, year, edition, pages
Cham: Springer, 2018
Series
Signals and Communication Technology, ISSN 1860-4862
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-34382 (URN)2-s2.0-85063129881 (Scopus ID)978-3-319-77842-6 (ISBN)
Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2019-05-22Bibliographically approved
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