Collision probability based Available Bandwidth estimation in Mobile Ad Hoc Networks

Chaudhari, Shilpa; Biradar, Rajashekhar C.

doi:10.1109/icadiwt.2014.6814665

Cited by 15 publications

(38 citation statements)

References 11 publications

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“…However, Chaudhari, et al [3] state that the medium on the sender node must be in free condition, so that the medium can be accessed to transmit data packets. In addition, at the same time the receiver node must also be in free condition during the time required to transmit whole data packets, in order to avoid collisions.…”

Section: Calculation Of Idle-period Synchronizationmentioning

confidence: 99%

“…In practice, a node has three channel conditions, i.e. BUSY, SENSE BUSY, and IDLE [3]. The author of APBE only considered the channel IDLE time used in the calculation to estimate available bandwidth and did not involve the BUSY and SENSE BUSY states.…”

Section: Calculation Of Idle-period Synchronizationmentioning

confidence: 99%

“…Another passive available bandwidth estimation method is Distributed Lagrange Interpolation Based ABW Estimation (DLI-ABE), as proposed in Chaudhari, et al [3]. DLI-ABE is a scheme that estimates available bandwidth in a network by using passive measurement based on idle-period synchronization, collision probability based on packet length and random waiting time.…”

Section: Passive Measurement Approachesmentioning

confidence: 99%

“…Tools that have been developed based on active probing approaches are for example, Spruce [9], Initial Gap Increasing (IGI) [10], Pathload (Jain and Dovrolis [11], and Pathchirp [12]. Schemes that were developed based on passive measurement approaches are for example, Adaptive Admission Control (AAC) [13], Cognitive Passive Estimation of Available Bandwidth (cPEAB) [14], Accurate Passive Bandwidth Estimation (APBE) [4], and Distributed Lagrange Interpolation Based ABW Estimation (DLI-ABE) [3].…”

Section: Related Workmentioning

confidence: 99%

“…Distributed Lagrange Interpolation Based Available Bandwidth Estimation (DLI-ABE) [3] and Accurate Passive Bandwidth Estimation (APBE) [4]. The idle-period synchronization model in APBE uses parameters of various node conditions at optimal workload instead of node state synchronization between the sender and receiver nodes, which can be affected by other nodes.…”

Section: Introductionmentioning

confidence: 99%

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Passive Available Bandwidth Estimation Based on Collision Probability and Node State Synchronization in Wireless Networks

Rizal¹,

Bandung

2017

J. ICT Res. Appl.

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Abstract. In wireless networks, available bandwidth estimation is challenging because wireless channels are used by multiple users or applications concurrently. In this study, we propose a passive measurement scheme to estimate the available bandwidth in 802.12 wireless networks based on the combination and modification of two existing schemes, Distributed Lagrange Interpolation Based Available Bandwidth Estimation (DLI-ABE) and Accurate Passive Bandwidth Estimation (APBE). The proposed scheme uses the channel busy state, which is affected by transmitting or receiving processes caused by carrier sensing. Therefore, the sender and the receiver node should be synchronized using various states that can be affected by other nodes. Moreover, the proposed scheme was developed with the involvement of relevant calculation of possible overhead caused by control messaging that occurs in the Media Access Control (MAC) layer and collision probability caused by data flow from hidden nodes. The result showed that the proposed scheme can estimate the available bandwidth of wireless networks more accurately than DLI-ABE and APBE.

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Section: Calculation Of Idle-period Synchronizationmentioning

confidence: 99%

Section: Calculation Of Idle-period Synchronizationmentioning

confidence: 99%

Section: Passive Measurement Approachesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Passive Available Bandwidth Estimation Based on Collision Probability and Node State Synchronization in Wireless Networks

Rizal¹,

Bandung

2017

J. ICT Res. Appl.

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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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Enhancing QoS for Multimedia Services Using Mobility-Aware Bandwidth Estimation Algorithm in MANETs

Sharma

Lal

Sharma

et al. 2018

Lecture Notes in Electrical Engineering

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Collision probability based Available Bandwidth estimation in Mobile Ad Hoc Networks

Cited by 15 publications

References 11 publications

Passive Available Bandwidth Estimation Based on Collision Probability and Node State Synchronization in Wireless Networks

Passive Available Bandwidth Estimation Based on Collision Probability and Node State Synchronization in Wireless Networks

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

Enhancing QoS for Multimedia Services Using Mobility-Aware Bandwidth Estimation Algorithm in MANETs

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