Publication
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping
| dc.contributor.author | Loureiro, João | |
| dc.contributor.author | Rangarajan, Raghuraman | |
| dc.contributor.author | Nikolic, Borislav | |
| dc.contributor.author | Soares Indrusiak, Leandro | |
| dc.contributor.author | Tovar, Eduardo | |
| dc.date.accessioned | 2019-09-12T13:36:13Z | |
| dc.date.embargo | 2119 | |
| dc.date.issued | 2019 | |
| dc.description.abstract | XDense 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 cyber-physical systems that require real-time sensing and actuation, like active flow control on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this article, 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 present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1145/3230872 | |
| dc.identifier.issn | 2378-962X | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/14574 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Institute of Electrical and Electronics Engineers | pt_PT |
| dc.relation | CISTER Research Unit (CEC/04234) | pt_PT |
| dc.relation.publisherversion | https://dl.acm.org/citation.cfm?id=3356396.3230872 | pt_PT |
| dc.subject | Networks | pt_PT |
| dc.subject | Network performance modeling | pt_PT |
| dc.subject | Network performance analysis | pt_PT |
| dc.subject | Network performance evaluation | pt_PT |
| dc.subject | Network simulations | pt_PT |
| dc.subject | Dense sensor networks | pt_PT |
| dc.subject | Real-time communication | pt_PT |
| dc.subject | Traffic shaping | pt_PT |
| dc.title | Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | New York, NY, USA | pt_PT |
| oaire.citation.endPage | 27:27 | pt_PT |
| oaire.citation.issue | 3 | pt_PT |
| oaire.citation.startPage | 27:1 | pt_PT |
| oaire.citation.title | ACM Transactions on Cyber-Physical Systems | pt_PT |
| oaire.citation.volume | 3 | pt_PT |
| person.familyName | rangarajan | |
| person.familyName | Tovar | |
| person.givenName | raghuraman | |
| person.givenName | Eduardo | |
| person.identifier.ciencia-id | 6017-8881-11E8 | |
| person.identifier.orcid | 0000-0002-7764-9380 | |
| person.identifier.orcid | 0000-0001-8979-3876 | |
| person.identifier.scopus-author-id | 56266439300 | |
| person.identifier.scopus-author-id | 7006312557 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 50bbd14b-901e-4312-b908-0d3dc8f96648 | |
| relation.isAuthorOfPublication | 80b63d8a-2e6d-484e-af3c-55849d0cb65e | |
| relation.isAuthorOfPublication.latestForDiscovery | 80b63d8a-2e6d-484e-af3c-55849d0cb65e |
