Publication
Cross-Layer Admission Control to Enhance the Support of Real-Time Applications in WSN
| dc.contributor.author | Pinto, Pedro | |
| dc.contributor.author | Pinto, António | |
| dc.contributor.author | Ricardo, Manuel | |
| dc.date.accessioned | 2016-01-20T12:32:55Z | |
| dc.date.available | 2016-01-20T12:32:55Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Real-time monitoring applications may be used in a wireless sensor network (WSN) and may generate packet flows with strict quality of service requirements in terms of delay, jitter, or packet loss. When strict delays are imposed from source to destination, the packets must be delivered at the destination within an end-to-end delay (EED) hard limit in order to be considered useful. Since the WSN nodes are scarce both in processing and energy resources, it is desirable that they only transport useful data, as this contributes to enhance the overall network performance and to improve energy efficiency. In this paper, we propose a novel cross-layer admission control (CLAC) mechanism to enhance the network performance and increase energy efficiency of a WSN, by avoiding the transmission of potentially useless packets. The CLAC mechanism uses an estimation technique to preview packets EED, and decides to forward a packet only if it is expected to meet the EED deadline defined by the application, dropping it otherwise. The results obtained show that CLAC enhances the network performance by increasing the useful packet delivery ratio in high network loads and improves the energy efficiency in every network load. | pt_PT |
| dc.identifier.doi | 10.1109/JSEN.2015.2467329 | pt_PT |
| dc.identifier.issn | 1530-437X | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/7419 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.relation | Functional Analysis of Dopamine Prediction Error Circuits | |
| dc.subject | WSN | pt_PT |
| dc.subject | admission control | pt_PT |
| dc.subject | end-to-end delay | pt_PT |
| dc.subject | estimation | pt_PT |
| dc.title | Cross-Layer Admission Control to Enhance the Support of Real-Time Applications in WSN | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Functional Analysis of Dopamine Prediction Error Circuits | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/FP7/618683/EU | |
| oaire.citation.title | IEEE Sensors Journal | pt_PT |
| oaire.citation.volume | 15 | pt_PT |
| oaire.fundingStream | FP7 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isProjectOfPublication | 4f9d0462-1d69-4bc8-a23a-ea27d7b8c4a4 | |
| relation.isProjectOfPublication.latestForDiscovery | 4f9d0462-1d69-4bc8-a23a-ea27d7b8c4a4 |
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