Abstract
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.
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Notes
- 1.
Given the high sampling rate of the haptic stream (typically 1 kHz), packet headers can account for upto 73% of the transmission rate on the forward channel when each haptic sample is packetized separately [9]. As a result, there is considerable room for data rate adaptation by varying the control parameter k (which determines the telehaptic packetization rate).
- 2.
The TOP transmits duplicate copies of a delay measurement if it transmits multiple packets in between adjacent receptions.
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The authors acknowledge support from a DST sponsored Indo-Korean grant.
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Gokhale, V., Nair, J., Chaudhuri, S., Kakade, S. (2018). Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication. In: Prattichizzo, D., Shinoda, H., Tan, H., Ruffaldi, E., Frisoli, A. (eds) Haptics: Science, Technology, and Applications. EuroHaptics 2018. Lecture Notes in Computer Science(), vol 10894. Springer, Cham. https://doi.org/10.1007/978-3-319-93399-3_56
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