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Publications (10 of 32) Show all publications
Nilsson, M., Schelén, O., Lindgren, A., Bodin, U., Paniagua, C., Delsing, J. & Sandin, F. (2023). Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions. Frontiers in Neuroscience, 17, Article ID 1074439.
Open this publication in new window or tab >>Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
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2023 (English)In: Frontiers in Neuroscience, ISSN 1662-4548, E-ISSN 1662-453X, Vol. 17, article id 1074439Article in journal (Refereed) Published
Abstract [en]

Increasing complexity and data-generation rates in cyber-physical systems and the industrial Internet of things are calling for a corresponding increase in AI capabilities at the resource-constrained edges of the Internet. Meanwhile, the resource requirements of digital computing and deep learning are growing exponentially, in an unsustainable manner. One possible way to bridge this gap is the adoption of resource-efficient brain-inspired “neuromorphic” processing and sensing devices, which use event-driven, asynchronous, dynamic neurosynaptic elements with colocated memory for distributed processing and machine learning. However, since neuromorphic systems are fundamentally different from conventional von Neumann computers and clock-driven sensor systems, several challenges are posed to large-scale adoption and integration of neuromorphic devices into the existing distributed digital–computational infrastructure. Here, we describe the current landscape of neuromorphic computing, focusing on characteristics that pose integration challenges. Based on this analysis, we propose a microservice-based conceptual framework for neuromorphic systems integration, consisting of a neuromorphic-system proxy, which would provide virtualization and communication capabilities required in distributed systems of systems, in combination with a declarative programming approach offering engineering-process abstraction. We also present concepts that could serve as a basis for the realization of this framework, and identify directions for further research required to enable large-scale system integration of neuromorphic devices.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2023
Keywords
neuromorphic computing, edge intelligence, event-driven systems, non-von Neumann, system integration, microservices, extreme heterogeneity, interoperability
National Category
Computer Systems Software Engineering Social Sciences Interdisciplinary
Research subject
Cyber-Physical Systems; Machine Learning
Identifiers
urn:nbn:se:ltu:diva-93711 (URN)10.3389/fnins.2023.1074439 (DOI)000942722200001 ()2-s2.0-85149655858 (Scopus ID)
Projects
Arrowhead ToolsDAISAI@Edge
Funder
The Kempe Foundations, JCK- 1809EU, Horizon Europe, 101015922
Note

Validerad;2023;Nivå 2;2023-02-17 (joosat);

Funder: ECSEL JU (737 459); KDT JU (101007273); ERUF Interreg Nord, (NYPS 20202460)

Licens fulltext: CC BY License

This article has previously appeared as a manuscript in a thesis.

Available from: 2022-10-26 Created: 2022-10-26 Last updated: 2024-03-07Bibliographically approved
Li, Y., Su, X., Ding, A. Y., Lindgren, A., Liu, X., Prehofer, C., . . . Hui, P. (2020). Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives. Sensors, 20(12), Article ID 3459.
Open this publication in new window or tab >>Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
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2020 (English)In: Sensors, E-ISSN 1424-8220, Vol. 20, no 12, article id 3459Article, review/survey (Refereed) Published
Abstract [en]

The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.

Place, publisher, year, edition, pages
MDPI, 2020
Keywords
Internet of Things (IoT), Software-defined Networking (SDN), knowledge-driving networking, IoT-proxy
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-80129 (URN)10.3390/s20123459 (DOI)000553123200001 ()32575354 (PubMedID)2-s2.0-85087030109 (Scopus ID)
Note

Validerad;2020;Nivå 2;2020-07-01 (alebob)

Available from: 2020-07-01 Created: 2020-07-01 Last updated: 2022-02-10Bibliographically approved
Li, Y., Shi, X., Lindgren, A., Hu, Z., Zhang, P., Jin, D. & Zhou, Y. (2018). Context-Aware Data Dissemination for ICN-Based Vehicular Ad Hoc Networks. Information (Switzerland), 9(11), Article ID 263.
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2018 (English)In: Information (Switzerland), ISSN 2078-2489, Vol. 9, no 11, article id 263Article in journal (Refereed) Published
Abstract [en]

Information-centric networking (ICN) technology matches many major requirements of vehicular ad hoc networks (VANETs) in terms of its connectionless networking paradigm accordant with the dynamic environments of VANETs and is increasingly being applied to VANETs. However, wireless transmissions of packets in VANETs using ICN mechanisms can lead to broadcast storms and channel contention, severely affecting the performance of data dissemination. At the same time, frequent changes of topology due to driving at high speeds and environmental obstacles can also lead to link interruptions when too few vehicles are involved in data forwarding. Hence, balancing the number of forwarding vehicular nodes and the number of copies of packets that are forwarded is essential for improving the performance of data dissemination in information-centric networking for vehicular ad-hoc networks. In this paper, we propose a context-aware packet-forwarding mechanism for ICN-based VANETs. The relative geographical position of vehicles, the density and relative distribution of vehicles, and the priority of content are considered during the packet forwarding. Simulation results show that the proposed mechanism can improve the performance of data dissemination in ICN-based VANET in terms of a successful data delivery ratio, packet loss rate, bandwidth usage, data response time, and traversed hops.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
information-centric networking (ICN), vehicular ad-hoc network (VANET), broadcast data suppression, distance-based forwarding, vehicular density
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-73524 (URN)10.3390/info9110263 (DOI)000451310900002 ()2-s2.0-85056142575 (Scopus ID)
Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2021-03-09Bibliographically approved
Li, Y., Li, Y., Wolf, L. C., Lindgren, A. & Wang, J. (2017). A named data approach for DTN routing. In: Salgado H.,Ruela J.,Pessoa L.,Teixeira F.,Ricardo M.,Campos R.,Morla R (Ed.), 2017 Wireless Days, WD 2017: . Paper presented at 2017 Wireless Days, WD 2017, Porto, Portugal, 29-31 March 2017 (pp. 163-166). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Article ID 7918135.
Open this publication in new window or tab >>A named data approach for DTN routing
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2017 (English)In: 2017 Wireless Days, WD 2017 / [ed] Salgado H.,Ruela J.,Pessoa L.,Teixeira F.,Ricardo M.,Campos R.,Morla R, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 163-166, article id 7918135Conference paper, Published paper (Refereed)
Abstract [en]

Many common DTN routing protocols are replication-based, which have relatively good performance in terms of message delivery ratio but high overhead, and leave the issue of garbage collection open. In this paper, we propose Named Data Distance Routing (NDDR), a named data based DTN routing approach which makes routing decisions for named data based on topological distance information. This helps to reduce the overhead of routing. We have implemented NDDR in the ONE simulation environment and the simulation results show that the proposed routing method has better performance in terms of message delivery ratio and network overhead compared with several typical replication-based DTN routing protocols

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017
Series
IFIP Wireless Days, E-ISSN 2156-9711
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
urn:nbn:se:ltu:diva-64374 (URN)10.1109/WD.2017.7918135 (DOI)000403395800031 ()2-s2.0-85020183790 (Scopus ID)9781509058563 (ISBN)
Conference
2017 Wireless Days, WD 2017, Porto, Portugal, 29-31 March 2017
Available from: 2017-06-22 Created: 2017-06-22 Last updated: 2018-01-13Bibliographically approved
Lindgren, A., Åkerberg, J. & Björkman, M. (2017). Feasibility of ICN in Automation Networks. In: : . Paper presented at 12th ACM Workshop on Challenged Networks (CHANTS 2017), Snowbird, Utah, USA, October 20, 2017.
Open this publication in new window or tab >>Feasibility of ICN in Automation Networks
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Communication Systems Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
urn:nbn:se:ltu:diva-66619 (URN)
Conference
12th ACM Workshop on Challenged Networks (CHANTS 2017), Snowbird, Utah, USA, October 20, 2017
Available from: 2017-11-17 Created: 2017-11-17 Last updated: 2018-01-15Bibliographically approved
Li, Y., Wang, J., Lindgren, A., Su, X. & Riekki, J. (2017). Implicit Cooperative Caching based on Information Popularity for Vehicular Networks. In: CHANTS 2017: Proceedings of the 12th Workshop on Challenged Networks, co-located with MobiCom 201720 October 2017. Paper presented at 12th ACM Workshop on Challenged Networks (CHANTS 2017), Snowbird, Utah, USA, October 20, 2017 (pp. 51-56). New York: ACM Digital Library
Open this publication in new window or tab >>Implicit Cooperative Caching based on Information Popularity for Vehicular Networks
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2017 (English)In: CHANTS 2017: Proceedings of the 12th Workshop on Challenged Networks, co-located with MobiCom 201720 October 2017, New York: ACM Digital Library, 2017, p. 51-56Conference paper, Published paper (Refereed)
Abstract [en]

Information dissemination is one of the most important tasks of vehicular networks. Therefore, information-centric networking (ICN) technology is being more and more widely used in vehicular networks due to the connectionless and lightweight characteristics of this networking paradigm. Caching plays an essential role in information-centric networks, but current caching techniques for ICN are not ideal for use in vehicular networks on account of the dynamicity and wireless transmission of vehicular networks. This paper presents a caching approach for ICN-based vehicular networks that takes into account both the dynamicity of vehicular networks and the popularity of the information to be distributed. By introducing the “interval” metric and estimating the popularity of information and current networking conditions of the vehicles on road, cooperative caching among nodes can be realized without exchanging cache management information among them. Simulation results show that the proposed approach can increase the storage space utilization and has low data response time for vehicular networks.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2017
National Category
Communication Systems Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-66618 (URN)10.1145/3124087.3124091 (DOI)2-s2.0-85041533208 (Scopus ID)9781450351447 (ISBN)
Conference
12th ACM Workshop on Challenged Networks (CHANTS 2017), Snowbird, Utah, USA, October 20, 2017
Available from: 2017-11-17 Created: 2017-11-17 Last updated: 2018-05-09Bibliographically approved
Lindgren, A., Abdesslem, F. B., Ahlgren, B., Schelén, O. & Malik, A. M. (2016). Design choices for the IoT in Information-Centric Networks (ed.). In: (Ed.), 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC): Las Vegas, 9-12 Jan. 2016. Paper presented at 13th IEEE Annual Consumer Communications & Networking Conference (CCNC,Las Vegas, 9-12 Jan. 2016 (pp. 882-888). Piscataway, NJ: IEEE Communications Society, Article ID 7444905.
Open this publication in new window or tab >>Design choices for the IoT in Information-Centric Networks
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2016 (English)In: 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC): Las Vegas, 9-12 Jan. 2016, Piscataway, NJ: IEEE Communications Society, 2016, p. 882-888, article id 7444905Conference paper, Published paper (Refereed)
Abstract [en]

This paper outlines the tradeoffs involved in utilizing Information-Centric Networking (ICN) for Internet of Things (IoT) scenarios. It describes contexts and applications where the IoT would benefit from ICN, and where a host-centric approach would be better. Requirements imposed by the heterogeneous nature of IoT networks are discussed in terms of connectivity, power availability, computational and storage capacity. Design choices are then proposed for an IoT architecture to handle these requirements, while providing efficiency and scalability. An objective is to not require any IoT specific changes of the ICN architecture per se, but we do indicate some potential modifications of ICN that would improve efficiency and scalability for IoT and other applications

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
urn:nbn:se:ltu:diva-31711 (URN)10.1109/CCNC.2016.7444905 (DOI)000382042200184 ()2-s2.0-84966668359 (Scopus ID)5f7c22bb-4a6e-4fc9-adb5-101c18f24ca2 (Local ID)978-1-4673-9291-4 (ISBN)5f7c22bb-4a6e-4fc9-adb5-101c18f24ca2 (Archive number)5f7c22bb-4a6e-4fc9-adb5-101c18f24ca2 (OAI)
Conference
13th IEEE Annual Consumer Communications & Networking Conference (CCNC,Las Vegas, 9-12 Jan. 2016
Note

Validerad; 2016; Nivå 1; 2016-10-06 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2023-09-05Bibliographically approved
Li, Y., Su, X., Lindgren, A., Shi, X., Cai, X., Riekki, J. & Que, X. (2016). Distance Assisted Information Dissemination with Broadcast Suppression for ICN-based VANET. In: Hsu C.-H.,Wang S.,Zhou A.,Shawkat A (Ed.), : . Paper presented at 3rd International Conference on Internet of Vehicles (IOV 2016), Nadi, Fiji, December 7-10, 2016 (pp. 179-193). Springer
Open this publication in new window or tab >>Distance Assisted Information Dissemination with Broadcast Suppression for ICN-based VANET
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2016 (English)In: / [ed] Hsu C.-H.,Wang S.,Zhou A.,Shawkat A, Springer, 2016, p. 179-193Conference paper, Published paper (Refereed)
Abstract [en]

Information-centric networking (ICN) is being applied to the vehicular networks by more and more researchers on account of its lightweight and connectionless networking paradigm and in-network caching characteristics, making it suitable for the dynamic environments of vehicular networks. However, wireless transmission of interest packets to find content in the network may lead to broadcast storms that can affect the performance of information dissemination severely. This paper proposes a distance assisted data dissemination method with broadcast storm suppressing mechanism (DASB) for supporting rapid and efficient information dissemination in ICN-based vehicular ad hoc networks (VANETs). Geo-position data of vehicles are used to accelerate packet forwarding, and vehicular nodes in certain areas are restricted to forward packets in order to suppress the broadcast storm. Simulation results show that the proposed method can greatly reduce the total number of packets transmitted in the network, and the successful information delivery ratio and information delivery time can also be improved.

Place, publisher, year, edition, pages
Springer, 2016
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 10036
National Category
Media and Communication Technology Communication Systems Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
urn:nbn:se:ltu:diva-60362 (URN)10.1007/978-3-319-51969-2_15 (DOI)000425524000015 ()2-s2.0-85011325778 (Scopus ID)9783319519685 (ISBN)
Conference
3rd International Conference on Internet of Vehicles (IOV 2016), Nadi, Fiji, December 7-10, 2016
Available from: 2016-11-12 Created: 2016-11-12 Last updated: 2024-04-05Bibliographically approved
Rao, A., Schelén, O. & Lindgren, A. (2016). Performance implications for IoT over information centric networks. In: CHANTS '16: Proceedings of the Eleventh ACM Workshop on Challenged Networks. Paper presented at The Eleventh ACM Workshop on Challenged Networks : CHANTS '16, New York City, New York, October 03-07, 2016 (pp. 57-62). New York: ACM Digital Library
Open this publication in new window or tab >>Performance implications for IoT over information centric networks
2016 (English)In: CHANTS '16: Proceedings of the Eleventh ACM Workshop on Challenged Networks, New York: ACM Digital Library, 2016, p. 57-62Conference paper, Published paper (Refereed)
Abstract [en]

Information centric networking (ICN) is a proposal for a future in-ternetworking architecture that is more efficient and scalable. Whileseveral ICN architectures have been evaluated for networks carry-ing web and video traffic, the benefits and challenges it poses forInternet of Things (IoT) networks are relatively unexplored. In ourwork, we evaluate the performance implications for typical IoT net-work scenarios in the ICN paradigm. We study the behavior of in-network caching, introduce a way to make caching more efficientfor periodic sensor data, and evaluate the impact of presence andlocation of lossy wireless links in IoT networks. In this paper, wepresent and discuss the results of our evaluations on IoT networksperformed through emulations using a specific ICN architecture,namely, content centric networking (CCN). For example, we showthat the newly proposed UTS-LRU cache replacement strategy forimproved caching performance of time series content streams re-duces the number of messages transmitted by up to 16%. Our find-ings indicate that the performance of IoT networks using ICN areinfluenced by the content model and the nature of its links, and mo-tivates further studies to understand the performance implicationsin more varied IoT scenarios.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2016
National Category
Communication Systems Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
urn:nbn:se:ltu:diva-60896 (URN)10.1145/2979683.2979686 (DOI)2-s2.0-85043684006 (Scopus ID)978-1-4503-4256-8 (ISBN)
Conference
The Eleventh ACM Workshop on Challenged Networks : CHANTS '16, New York City, New York, October 03-07, 2016
Available from: 2016-12-03 Created: 2016-12-03 Last updated: 2023-09-05Bibliographically approved
Zhao, X., Qiao, Y., Si, Z., Yang, J. & Lindgren, A. (2016). Prediction of user app usage behavior from geo-spatial data (ed.). In: (Ed.), GeoRich '16: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data. Paper presented at International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data : 26/06/2016 - 26/06/2016 (pp. 37-42). New York: ACM Digital Library, Article ID 7.
Open this publication in new window or tab >>Prediction of user app usage behavior from geo-spatial data
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2016 (English)In: GeoRich '16: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, New York: ACM Digital Library, 2016, p. 37-42, article id 7Conference paper, Published paper (Refereed)
Abstract [en]

In the era of mobile Internet, a vast amount of geo-spatial data allows us to gain further insights into human activities, which is critical for Internet Services Providers (ISP) to provide better personalized services. With the pervasiveness of mobile Internet, much evidence show that human mobility has heavy impact on app usage behavior. In this paper, we propose a method based on machine learning to predict users' app usage behavior using several features of human mobility extracted from geo-spatial data in mobile Internet traces. The core idea of our method is selecting a set of mobility attributes (e.g. location, travel pattern, and mobility indicators) that have large impact on app usage behavior and inputting them into a classification model. We evaluate our method using real-world network traffic collected by our self-developed high-speed Traffic Monitoring System (TMS). Our prediction method achieves 90.3% accuracy in our experiment, which verifies the strong correlation between human mobility and app usage behavior. Our experimental results uncover a big potential of geo-spatial data extracted from mobile Internet

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2016
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
urn:nbn:se:ltu:diva-35372 (URN)10.1145/2948649.2948656 (DOI)000390470000007 ()2-s2.0-84979222024 (Scopus ID)9e347669-2b43-4318-8d54-b4f147bd512a (Local ID)978-1-4503-4309-1 (ISBN)9e347669-2b43-4318-8d54-b4f147bd512a (Archive number)9e347669-2b43-4318-8d54-b4f147bd512a (OAI)
Conference
International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data : 26/06/2016 - 26/06/2016
Note

Godkänd; 2016; 20160627 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3932-4144

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