Packet loss

About: Packet loss is a research topic. Over the lifetime, 21235 publications have been published within this topic receiving 302453 citations.

The Real-Time Channel Administration Protocol

Abstract: The Real-time Channel Administration Protocol (RCAP) provides control and administration services for the Tenet real-time protocol suite, a connection-oriented suite of network and transport layer protocols for realtime communication. RCAP performs per-channel reservation of network resources based on worst-case analysis to provide hard guarantees on delay, jitter, and packet loss bounds. It uses a hierarchical approach to provide these guarantees across a heterogeneous internetwork environment.

Identifying High Throughput Paths in 802.11 Mesh Networks: a Model-based Approach

Abstract: We address the problem of identifying high throughput paths in 802.11 wireless mesh networks. We introduce an analytical model that accurately captures the 802.11 MAC protocol operation and predicts both throughput and delay of multi-hop flows under changing traffic load or routing decisions. The main idea is to characterize each link by the packet loss probability and by the fraction of busy time sensed by the link transmitter, and to capture both intra-flow and inter-flow interference. Our model reveals that the busy time fraction experienced by a node, a locally measurable quantity, is essential in finding maximum throughput paths. Furthermore, metrics that do not take this quantity into account can yield low throughput by routing over congested paths or by filtering-out non-congested paths. Based on our analytical model, we propose a novel routing metric that can be used to discover high throughput path in a congested network. Using city-wide mesh network topologies we demonstrate that our model-based metric can achieve significant performance gains with respect to existing metrics.

Rate-distortion optimized hybrid error control for real-time packetized video transmission

Abstract: In this paper, hybrid error control for real-time video transmission is studied. The study is carried out using a proposed integrated joint source-channel coding framework, which jointly considers error resilient source coding, channel coding, and error concealment, in order to achieve the best video quality and focuses on the performance comparison of several error correction scenarios, such as forward error correction (FEC), retransmission, and the combination of both. Simulation results show that either FEC or retransmission can be optimal depending on the packet loss rates and network round trip time. The proposed hybrid FEC/retransmission scheme outperforms both.

Packet loss effects in passive telepresence systems

Abstract: This paper focuses on the effects of packet loss in passive bilateral telepresence systems with force feedback. The substantial impact of packet loss and subsequently applied packet processing algorithms on the energy balance and thereby stability and performance of passive telepresence systems is studied. As an example for a class of non-energy preserving packet processing algorithms, the hold last sample (HLS) strategy, is shown to generate energy. A sufficient condition for the non-passivity of HLS is derived and passifying compensation is discussed.

Model predictive control of non-linear systems over networks with data quantization and packet loss.

Abstract: This paper studies the approach of model predictive control (MPC) for the non-linear systems under networked environment where both data quantization and packet loss may occur. The non-linear controlled plant in the networked control system (NCS) is represented by a Tagaki-Sugeno (T-S) model. The sensed data and control signal are quantized in both links and described as sector bound uncertainties by applying sector bound approach. Then, the quantized data are transmitted in the communication networks and may suffer from the effect of packet losses, which are modeled as Bernoulli process. A fuzzy predictive controller which guarantees the stability of the closed-loop system is obtained by solving a set of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method.