Sökning: WFRF:(Lisova Elena) > (2021) > CoSiNeT :
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 03486naa a2200409 4500 | |
001 | oai:DiVA.org:mdh-53972 | |
003 | SwePub | |
008 | 210528s2021 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-539722 URI |
024 | 7 | a https://doi.org/10.1109/ICPS49255.2021.94681742 DOI |
040 | a (SwePub)mdh | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Gore, Rahul Nandkumaru Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)rge01 |
245 | 1 0 | a CoSiNeT :b A Lightweight Clock Synchronization Algorithm for Industrial IoT |
264 | 1 | c 2021 |
338 | a print2 rdacarrier | |
520 | a Recent advances in industrial internet of things~(IIoT) and cyber-physical systems drive Industry 4.0 and lead to advanced applications. The adequate performance of time-critical automation applications depends on a clock synchronization scheme used by control systems. Network packet delay variations adversely impact the clock synchronization performance. The impact is significant in industrial sites, where software and hardware resources heavily contribute to delay variations, and where harsh environmental conditions interfere with communication network dynamics. While existing time synchronization methods for IIoT devices, e.g., Simple Network Time Protocol~(SNTP), provide adequate synchronization in good operating conditions, their performance degrades significantly with deteriorating network conditions. To overcome this issue, we propose a scalable, software-based, lightweight clock synchronization method, called CoSiNeT, for IIoT devices that maintains precise synchronization performance in a wide range of operating conditions. We have conducted measurements in local network deployments such as home and a university campus in order to evaluate the proposed algorithm performance. The results show that CoSiNeT matches well with SNTP and state-of-the-art method in good network conditions in terms of accuracy and precision; however, it outperforms them in degrading network scenarios. In our measurements, in fair network conditions, CoSiNeT improves synchronization performance by 23% and 25% compared to SNTP and state-of-the-art method. In the case of poor network conditions, it improves performance by 43% and 26%, respectively. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng |
653 | a Clock Synchronization | |
653 | a Industrial Automation | |
653 | a Cyber-physical systems | |
653 | a Industrial internet of things | |
653 | a Wireless networks | |
653 | a SNTP | |
653 | a NTP | |
653 | a Round Trip Delay | |
700 | 1 | a Lisova, Elenau Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)ela02 |
700 | 1 | a Åkerberg, Johanu Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)jag02 |
700 | 1 | a Björkman, Matsu Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)mbn07 |
710 | 2 | a Mälardalens högskolab Inbyggda system4 org |
773 | 0 | t IEEE International Conference on Industrial Cyber-Physical Systems ICPS 2021z 9781728162072 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53972 |
856 | 4 8 | u https://doi.org/10.1109/ICPS49255.2021.9468174 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.