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Latency (engineering)

About: Latency (engineering) is a research topic. Over the lifetime, 7278 publications have been published within this topic receiving 115409 citations. The topic is also known as: lag.


Papers
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Journal ArticleDOI
TL;DR: Simulation results show that the proposed cluster based Data Aggregation Scheme for Latency and Packet Loss Reduction in WSN reduces the latency and overhead and increases the packet delivery ratio and residual energy.

59 citations

Journal ArticleDOI
01 Jul 2000
TL;DR: Evaluating the influence of interface design configuration, control mode and latency on teleoperation performance, telepresence, and workload in a pick-and-place task demonstrated significant benefits of using VR in conjunction with video feedback to control the telerobot.
Abstract: Human-machine interfaces that facilitate telepresence are speculated to improve performance with teleoperators. Unfortunately, there is little experimental evidence to substantiate a direct link be...

59 citations

Proceedings ArticleDOI
21 Sep 2019
TL;DR: This work investigates the effects of latency on task performance and perceived workload for different driving scenarios and suggests that latency has negative influence on driving performance and subjective factors and led to a decreased confidence in Teleoperated Driving during the study.
Abstract: In the domain of automated driving, numerous (technological) problems were solved in recent years, but still many limitations are around that could eventually prevent the deployment of automated driving systems (ADS) beyond SAE level 3. A remote operating fallback authority might be a promising solution. In order for teleoperation to function reliably and universal, it will make use of existing infrastructure, such as cellular networks. Unfortunately, cellular networks might suffer from variable performance. In this work, we investigate the effects of latency on task performance and perceived workload for different driving scenarios. Results from a simulator study (N=28) suggest that latency has negative influence on driving performance and subjective factors and led to a decreased confidence in Teleoperated Driving during the study. A latency of about 300 ms already led to a deteriorated driving performance, whereas variable latency did not consequently deteriorate driving performance.

59 citations

Journal Article
TL;DR: A new dynamic hybrid protocol is proposed that, when applied to systems where the topology/traffic patterns are not known a priori, offers a much lower latency than any of the previous classes of protocols in isolation.
Abstract: Totally ordered multicast protocols have proved to be extremely useful in supporting fault-tolerant distributed applications. This paper compares the performance of the two main classes of protocols providing total order in large-scale systems: token-site and symmetric protocols. The paper shows that both classes of protocols can exhibit a latency close to 2D, where D is the message transit delay between two processes. In the face of these observations, the paper makes the following contributions: it presents a rate-synchronization scheme for symmetric protocols that exhibits a latency close to D+t, where t is the inter-message transmission time; it proposes a new hybrid protocol and shows that the hybrid scheme for heterogeneous topologies performs better than any of the previous classes of protocols in isolation; finally, the paper presents an algorithm that allows a process to dynamically adapt to changes in throughput and in network delays. The combination of these three techniques results in a dynamic hybrid scheme that, when applied to systems where the topology/traffic patterns are not known a priori, offers a much lower latency than non-hybrid approaches.

59 citations

Journal ArticleDOI
TL;DR: This paper proposes Computation Offloading using Reinforcement Learning (CORL) scheme to minimize latency and energy consumption, and shows the benefits of the proposed scheme in terms of saving energy, minimizing latency, and maximum utilization of node resources in edge-enabled sensor networks.
Abstract: With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which equipped with sensors. These networked sensors are used to gather enormous data from different smart healthcare applications, and this collected data process for making appropriate decisions. Edge computing is an efficient platform that provides computational resources to collect sensor data. In the meantime, intelligent and accurate resource management by Artificial Intelligence (AI) has become the center of attention, especially in healthcare systems. With the help of AI, IoMT based healthcare devices will remarkably enhance the computational speed and range. But the challenging issue in these energy-hungry, short battery life, and delay intolerant portable devices is inappropriate and inefficient classical trends of fair resource allotment. Thus, this paper proposes Computation Offloading using Reinforcement Learning (CORL) scheme to minimize latency and energy consumption. We first formulate the problem as a combined latency and energy cost minimization problem, satisfying the lack of limited battery capacity and service latency deadline constraints. Moreover, proposed algorithm search optimal available resources node to offload task towards the trade-off between energy and latency. The experimental results show the benefits of the proposed scheme in terms of saving energy, minimizing latency, and maximum utilization of node resources in edge-enabled sensor networks. We are using an iFogSim simulator to validate the proposed scheme under realistic assumptions.

59 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
2021485
2020529
2019533
2018500
2017405