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Desai, Nitin
Publications (4 of 4) Show all publications
Desai, N. & Punnekkat, S. (2020). Enhancing Fault Detection in Time Sensitive Networks using Machine Learning. In: 2020 International Conference on COMmunication Systems and NETworkS, COMSNETS 2020: . Paper presented at 2020 International Conference on COMmunication Systems and NETworkS, COMSNETS 2020, 7 January 2020 through 11 January 2020 (pp. 714-719). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Enhancing Fault Detection in Time Sensitive Networks using Machine Learning
2020 (English)In: 2020 International Conference on COMmunication Systems and NETworkS, COMSNETS 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 714-719Conference paper (Refereed)
Abstract [en]

Time sensitive networking (TSN) is gaining attention in industrial automation networks since it brings essential real-time capabilities to the Ethernet layer. Safety-critical realtime applications based on TSN require both timeliness as well as fault-tolerance guarantees. The TSN standard 802.1CB introduces seamless redundancy mechanisms for time-sensitive data whereby each data frame is sequenced and duplicated across a redundant link to prevent single points of failure (most commonly, link failures). However, a major shortcoming of 802.1CB is the lack of fault detection mechanisms which can result in unnecessary replications even under good link conditions - clearly inefficient in terms of bandwidth use. This paper proposes a machine learning-based intelligent configuration synthesis mechanism that enhances bandwidth utilization by replicating frames only when a link has a higher propensity for failure. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2020
Keywords
fault-detection, fault-tolerance, machine learning, network configuration, redundancy, safety-critical systems, Time sensitive networking, Bandwidth, Fault tolerance, Learning systems, Safety engineering, Band-width utilization, Fault-detection mechanisms, Industrial automation, Intelligent configuration, Redundancy mechanisms, Safety critical systems, Fault detection
National Category
Computer Sciences
Identifiers
urn:nbn:se:mdh:diva-47457 (URN)10.1109/COMSNETS48256.2020.9027357 (DOI)2-s2.0-85082176389 (Scopus ID)9781728131870 (ISBN)
Conference
2020 International Conference on COMmunication Systems and NETworkS, COMSNETS 2020, 7 January 2020 through 11 January 2020
Note

Conference code: 158297; Export Date: 2 April 2020; Conference Paper

Available from: 2020-04-02 Created: 2020-04-02 Last updated: 2020-04-02Bibliographically approved
Dobrin, R., Desai, N. & Punnekkat, S. (2019). On fault-tolerant scheduling of time sensitive networks. In: OpenAccess Series in Informatics: . Paper presented at 4th International Workshop on Security and Dependability of Critical Embedded Real-Time Systems, CERTS 2019, 9 July 2019. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Open this publication in new window or tab >>On fault-tolerant scheduling of time sensitive networks
2019 (English)In: OpenAccess Series in Informatics, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Time sensitive networking (TSN) is gaining attention in industrial automation networks since it brings essential real-time capabilities at the data link layer. Though it can provide deterministic latency under error free conditions, TSN still largely depends on space redundancy for improved reliability. In many scenarios, time redundancy could be an adequate as well as cost efficient alternative. Time redundancy in turn will have implications due to the need for over-provisions needed for timeliness guarantees. In this paper, we discuss how to embed fault-tolerance capability into TSN schedules and describe our approach using a simple example.

Place, publisher, year, edition, pages
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2019
Keywords
Fault-tolerant schedule, Time redundancy, Time sensitive networks(TSN), Embedded systems, Fault tolerance, Interactive computer systems, Redundancy, Data link layer, Fault tolerant scheduling, Fault-tolerance capability, Fault-tolerant, Industrial automation, Real time capability, Real time systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-46541 (URN)10.4230/OASIcs.CERTS.2019.5 (DOI)2-s2.0-85070896705 (Scopus ID)9783959771191 (ISBN)
Conference
4th International Workshop on Security and Dependability of Critical Embedded Real-Time Systems, CERTS 2019, 9 July 2019
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2019-12-17Bibliographically approved
Desai, N. & Punnekkat, S. (2019). Safety of fog-based industrial automation systems. In: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT: . Paper presented at 2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019 (pp. 6-10). Association for Computing Machinery, Inc
Open this publication in new window or tab >>Safety of fog-based industrial automation systems
2019 (English)In: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT, Association for Computing Machinery, Inc , 2019, p. 6-10Conference paper, Published paper (Refereed)
Abstract [en]

The Fog computing paradigm employing multiple technologies is expected to play a key role in a multitude of industrial applications by fulfilling futuristic requirements such as flexible and enhanced computing, storage, and networking capability closer to the field devices. While performance aspects of the Fog paradigm has been the central focus of researchers, safety aspects have not received enough attention so far. In this paper, we identify various safety challenges related to the Fog paradigm and provide specific safety design aspects as a step towards enhancing safety in industrial automation scenarios. We contextualize these ideas by invoking a distributed mobile robots use-case that can benefit from the use of the Fog paradigm.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc, 2019
Keywords
Fog computing, Industrial automation, Mobile robots, Safety, Accident prevention, Automation, Fog, Internet of things, Computing paradigm, Contextualize, Industrial automation system, Multiple technology, Performance aspects, Safety aspects, Safety design
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mdh:diva-43889 (URN)10.1145/3313150.3313218 (DOI)000473542200002 ()2-s2.0-85066021611 (Scopus ID)9781450366984 (ISBN)
Conference
2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019
Available from: 2019-06-11 Created: 2019-06-11 Last updated: 2019-10-11Bibliographically approved
Desai, N. & Punnekkat, S. (2019). Safety-oriented flexible design of Autonomous Mobile Robot systems. In: 2019 IEEE International Symposium on Systems Engineering ISSE 2019: . Paper presented at 2019 IEEE International Symposium on Systems Engineering ISSE 2019, 01 Oct 2019, Edinburgh, United Kingdom. Edinburgh, United Kingdom (5)
Open this publication in new window or tab >>Safety-oriented flexible design of Autonomous Mobile Robot systems
2019 (English)In: 2019 IEEE International Symposium on Systems Engineering ISSE 2019, Edinburgh, United Kingdom, 2019, no 5Conference paper, Published paper (Refereed)
Abstract [en]

Current industrial automation applications particularly within the smart manufacturing domain require mobility, flexibility of deployment, and scalability. In addition to these, it is important to mitigate the risk of safety hazards. In this paper we discuss a flexible, granular, and software-based system design that aims to improve both security and safety of an autonomous mobile robot (AMR) based industrial automation systems. The decentralised control architecture ensures that safety-critical functions are distributed throughout the network. To this end, we first define system-level safety requirements and identify procedures required to satisfy safety-critical functions such as emergency-stop (E-Stop). We then explain the benefits provided by the proposed system architecture vis-a-vis its resilience towards potential safety hazards.

Place, publisher, year, edition, pages
Edinburgh, United Kingdom: , 2019
Keywords
Safety, Fog computing, mobile robots, industrialautomation
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-45944 (URN)10.1109/ISSE46696.2019.8984481 (DOI)2-s2.0-85081086634 (Scopus ID)
Conference
2019 IEEE International Symposium on Systems Engineering ISSE 2019, 01 Oct 2019, Edinburgh, United Kingdom
Projects
FORA - Fog Computing for Robotics and Industrial Automation
Available from: 2019-11-18 Created: 2019-11-18 Last updated: 2020-03-19Bibliographically approved
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