Path capacity estimation in heterogeneous, best-effort, small-scale IP networks

Delphinanto, A.; Koonen, Ton; Zhang, Shuang; Hartog, Frank den

doi:10.1109/lcn.2010.5735683

Cited by 9 publications

(13 citation statements)

References 16 publications

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“…It only needs a simple software upgrade of the server side of the e2e path of a flow within the home network, which for many use cases will be the home gateway. The results presented in [1] and [2] show that it is fast, and accurate enough to make informed decisions about the admission of IPTV streams.…”

Section: The Allbest Probing Methodsmentioning

confidence: 97%

“…Assuming the crossing traffic stochastic, a series of n packet-pair probes is usually performed to maximize the chance of finding a packet pair of which crossing traffic hasn't influenced the bottleneck dispersion further down the path. In contrast to the current literature, we [1] then calculate D from the minimum RTT of the first packet (RTT 1 ) of a probe pair and the minimum RTT of the second packet (RTT 2 ) of the pair, yielding for C:…”

Section: The Allbest Probing Methodsmentioning

confidence: 99%

“…Existing packet-pair dispersion techniques do not work in wireless media in round trip, because the reply packet of the first probe packet contends with the second probe packet on the air interface [1]. To avoid this contention, we are sending The 8th Annual IEEE Consumer Communications and Networking Conference -Demos 978-1-4244-8790-5/11/$26.00 ©2011 IEEEa single packet with size 2xMTU, instead of two packets back-to-back.…”

Section: The Allbest Probing Methodsmentioning

confidence: 99%

“…The GUI on the prober will show the capacity and the available bandwidth of that path. Despite the inevitable 2.4 GHz interference in the demonstration environment, the estimated path capacity will be around 38 Mbps, which is the expected throughput of IEEE 802.11g on the network layer [1]. The available bandwidth will be whatever the interference in the demonstration room dictates.…”

Section: Description Of the Demonstratormentioning

confidence: 99%

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Real-time probing of end-to-end capacity and available bandwidth in heterogeneous local networks

Delphinanto

Koonen

Zhang

et al. 2011

2011 IEEE Consumer Communications and Networking Conference (CCNC)

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Section: The Allbest Probing Methodsmentioning

confidence: 97%

Section: The Allbest Probing Methodsmentioning

confidence: 99%

Section: The Allbest Probing Methodsmentioning

confidence: 99%

Section: Description Of the Demonstratormentioning

confidence: 99%

See 2 more Smart Citations

Real-time probing of end-to-end capacity and available bandwidth in heterogeneous local networks

Delphinanto

Koonen

Zhang

et al. 2011

2011 IEEE Consumer Communications and Networking Conference (CCNC)

Self Cite

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“…This means that C needs to be determined first, and the estimation of A becomes a two-step process. In [9] we proposed and validated a new method for determining C in heterogeneous home networks based on RTT measurements of probe packets, and fulfilling all requirements listed in the previous section. However, we also learned that probing a wireless LAN with rate C may yield the correct average dispersion rate at the receiver when measuring in one direction, but will not if it needs to be derived from RTTs.…”

Section: Probing Home Network Bottleneck Capacity and Available Bandmentioning

confidence: 99%

Real-time probing of available bandwidth in home networks

Delphinanto

Koonen

Hartog³

2011

IEEE Commun. Mag.

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Bandwidth Estimation for Admission Control in MANET: Review and Conceptual MANET Admission Control Framework

Aina

Yousef

Osanaiye

2018

Advances in Intelligent Systems and Computing

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Mobile ad-hoc network (MANET) is one of the main technologies for the next generation wireless networking because of the positive impact it poses over other wireless networks having undergone rapid progress, which has inspired many applications. However, providing quality of service (QoS) assurance to MANET is hard because of the unpredictable nature of the wireless medium, contention problem amongst the channel, mobility problem and lack of central coordinator. Admission control is therefore seen as one of the methods for providing QoS. Admission control aim at estimating the network resource states and decides whether to admit a session without assuring more resources bandwidth space than what is available, to avoid the violation of any rules that has been previously made. Some recent solution considered the MAC layer back-off impact due to collision as well as the non-synchronization between the sender and receiver when estimating the available bandwidth. None of the previous work proposed a technique that sends a HELLO packet to its one-hop neighbours which further aggregates to the rest of the nodes to retrieve the available bandwidth on a carrier sensing region, in order to limit the impact of additional overhead of the carrier sensing multiple access with collision avoidance (CSMA/CA). Also, none of the existing solution has properly addressed the channel idle time dependency between the sending node and the receiving node by differentiating the BUSY state from the SENSE BUSY states and the IDLE state caused by an empty queue. This paper, therefore reviews the bandwidth estimation techniques for admission control for MANET. The bandwidth estimation techniques for admission control have been categorized into two, active and passive estimation. An outline of each technique has been discussed as well as the proposed conceptual framework. The contribution as identified in this research work is the proposal of conceptual framework that adapts the following into the bandwidth estimation for admission control in MANET: (i) HELLO packet advertisement to one hop which further aggregates to retrieve the available bandwidth on the carrier sensing region, (ii) Considering the channel idle time measurement by differentiating the channel busy state from channel sensing state and regarding an empty queue as an idle state. Future research directions are also outlined.

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Path capacity estimation in heterogeneous, best-effort, small-scale IP networks

Cited by 9 publications

References 16 publications

Real-time probing of end-to-end capacity and available bandwidth in heterogeneous local networks

Real-time probing of end-to-end capacity and available bandwidth in heterogeneous local networks

Real-time probing of available bandwidth in home networks

Bandwidth Estimation for Admission Control in MANET: Review and Conceptual MANET Admission Control Framework

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