Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43898679" target="_blank" >RIV/60076658:12310/18:43898679 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-93399-3_56" target="_blank" >http://dx.doi.org/10.1007/978-3-319-93399-3_56</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-93399-3_56" target="_blank" >10.1007/978-3-319-93399-3_56</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication

Popis výsledku v původním jazyce

While the adaptive sampling technique for kinesthetic signal transmission offers a phenomenal reduction in the time-average data rate, it does not guarantee a meaningful upper bound on the instantaneous rate, which can occasionally be comparable to the peak rate. This implies that for Quality of Service (QoS) compliance, a network bandwidth equal to the peak rate must be reserved apriori for the telehaptic stream at all times. On a shared network with unknown and time-varying cross-traffic, this is not always feasible. In order to address the intermittently high bandwidth demand as well as the network-obliviousness of adaptive sampling, we propose NaPAS: Network-aware Packetization for Adaptive Sampling. The idea is to intelligently merge multiple haptic samples generated by adaptive sampling in a packet, depending on the changing network conditions. This results in an elastic telehaptic traffic that can adapt to the available network bandwidth. Through qualitative and quantitative measures, we evaluate the performance of NaPAS and demonstrate that it outperforms standard adaptive sampling (SAS) in terms of maintaining the haptic perceptual quality and QoS compliance, while also being friendlier to the exogenous network cross-traffic.

Název v anglickém jazyce

Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication

Popis výsledku anglicky

While the adaptive sampling technique for kinesthetic signal transmission offers a phenomenal reduction in the time-average data rate, it does not guarantee a meaningful upper bound on the instantaneous rate, which can occasionally be comparable to the peak rate. This implies that for Quality of Service (QoS) compliance, a network bandwidth equal to the peak rate must be reserved apriori for the telehaptic stream at all times. On a shared network with unknown and time-varying cross-traffic, this is not always feasible. In order to address the intermittently high bandwidth demand as well as the network-obliviousness of adaptive sampling, we propose NaPAS: Network-aware Packetization for Adaptive Sampling. The idea is to intelligently merge multiple haptic samples generated by adaptive sampling in a packet, depending on the changing network conditions. This results in an elastic telehaptic traffic that can adapt to the available network bandwidth. Through qualitative and quantitative measures, we evaluate the performance of NaPAS and demonstrate that it outperforms standard adaptive sampling (SAS) in terms of maintaining the haptic perceptual quality and QoS compliance, while also being friendlier to the exogenous network cross-traffic.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN

978-3-319-93398-6

ISSN

—

e-ISSN

1611-3349

Počet stran výsledku

13

Strana od-do

660-672

Název nakladatele

Springer Verlag

Místo vydání

Pisa, Italy

Místo konání akce

Pisa; Italy

Datum konání akce

13. 6. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000458561800056