A Survey on Bandwidth Management in MANET

Jagadev, Nibedita; Pattanayak, Binod Kumar; Singh, Debabrata; Sahoo, Sudarsan

doi:10.14419/ijet.v7i3.4.14672

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…However, in wireless networks apart from congestion, link failure can be the reason of packet loss, and in these cases, reduction of CCA to half causes the underutilization of available bandwidth. Many proposals were made in literature to improve bandwidth utilization in MANET and are discuss in survey …”

Section: Problem Definition and Related Workmentioning

confidence: 99%

“…Many proposals were made in literature to improve bandwidth utilization in MANET and are discuss in survey. [13][14][15][16] Yuan et al 17 proposed MBE: a model-based bandwidth estimation technique for TCP/UDP traffic over IEEE 802.11 WLAN. MBE improved the model of Padhye et al 18 by integrating the transmission loss probability and claimed improvement over.…”

Section: Problem Definition and Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Bandwidth estimation in high mobility scenarios of IEEE 802.11 infrastructure‐less mobile ad hoc networks

Pal

Tripathi

Kumar

2019

Int J Communication

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Summary Bandwidth estimation in mobile ad hoc networks (MANET), where each node can move randomly and is capable of frequently changing its link with other nodes, is a challenging task. Motivation of this work is in contrast with TCP new‐reno which decreases the congestion window both in the event of link failure and congestion, which in the case of packet loss due to link failure should be close to available channel bandwidth. The proposed novel approach capture the node's mobility behavior in broadcast and unicast scenarios of IEEE 802.11 standard to efficiently estimate the sender's window size. This proposal introduces a data structure and source‐to‐destination path stability metric to imitate the mobility behavior of network and presents the analytic characterization of steady‐state throughput as a function of packet loss, round trip time, and path stability over IEEE 802.11 infrastructure‐less MANET. The performance is evaluated over random‐walk, random‐waypoint, and Gauss‐Markov mobility models in 2D and 3D environments using QualNet 7.4 network simulator. The proposed analytical model is also evaluated through two‐tailed statistical test. Analytical, statistical, and simulation‐based comparisons demonstrate the effectiveness of proposed method in high‐mobility scenarios.

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Section: Problem Definition and Related Workmentioning

confidence: 99%

Section: Problem Definition and Related Workmentioning

confidence: 99%

Bandwidth estimation in high mobility scenarios of IEEE 802.11 infrastructure‐less mobile ad hoc networks

Pal

Tripathi

Kumar

2019

Int J Communication

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“…In active bandwidth estimation, a dummy packet, known as probe packet, is transmitted through the network at different traffic rates from the source to the destination node. The available bandwidth along a path is therefore estimated by measuring the inter-arrival times [6]. The above technique adds probing traffic and can possibly degrade the existing flow performance [7].…”

Section: Introductionmentioning

confidence: 99%

Be-Ozr: An Efficient Available Bandwidth Estimation In Ieee802.11E Network

Aina¹,

Yousef²,

Osanaiye³

2021

Preprint

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In wireless network, the support for Quality of Service (QoS) depends on the ability of a network to estimate the available bandwidth of a link effectively and efficiently. Due to the shared nature of the wireless medium, there has been challenges in achieving an accurate measurement of the available bandwidth. This paper therefore proposes an efficient available bandwidth estimation approach that improves the accuracy of previously proposed approach for accurate measurement. The approach used in this paper is to passively estimate the available bandwidth, where the maximum range of the channel idle time measurement used in the calculation is re-defined to address the outer zone range threshold (OZR). This limits the under-estimation and over-estimation of bandwidth measurement. The proposed approach used limits the network overhead and achieves accuracy and efficiency. Results obtained from the simulation shows how our proposed approach out-performs the state-of the-art approach in terms of throughput and delay, using the IEEE802.11e. We have been able to achieve 8% improvement in accuracy and efficiency when compared with the best of the state-of-the-art available bandwidth estimation technique.

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