Repository logo
 
Publication

Real-Time Dense Wired Sensor Network Based on Traffic Shaping

dc.contributor.authorLoureiro, João
dc.contributor.authorRangarajan, Raghuraman
dc.contributor.authorNikolic, Borislav
dc.contributor.authorIndrusiak, Leandro
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2017-08-28T14:13:29Z
dc.date.available2017-08-28T14:13:29Z
dc.date.issued2017
dc.descriptionPresented at the 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2017). Hsinchu, Taiwan.pt_PT
dc.description.abstractXDense is a novel wired 2D-mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g. thousands of sensors per square meter). It was conceived for closed-loop cyber-physical systems (CPS) that require real-time actuation, like active flow control (AFC) on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed such that they enable to extract complex features within bounded time and in a responsive manner. In this paper we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and demonstrate the effectiveness of running real-time applications supported on XDense.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/RTCSA.2017.8046307pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10207
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.ispartofseriesRTCSA;2017
dc.titleReal-Time Dense Wired Sensor Network Based on Traffic Shapingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceHsinchu, Taiwanpt_PT
oaire.citation.title23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applicationspt_PT
person.familyNameTovar
person.givenNameEduardo
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id7006312557
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscovery80b63d8a-2e6d-484e-af3c-55849d0cb65e

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
COM_CISTER_AGO_2017.pdf
Size:
614.74 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: