Available Bandwidth Estimation Using Collision Probability, Idle Period Synchronization and Random Waiting Time in MANETs: Cognitive Agent Based Approach

Chaudhari, Shilpa; Biradar, Rajashekhar C.

doi:10.1007/s11277-015-2797-0

Cited by 8 publications

(8 citation statements)

References 39 publications

(49 reference statements)

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“…The available bandwidth is used for the selection of network in heterogeneous network environment. Parts of the protocols that comes under passive technique are: Distributed LaGrange interpolation based available bandwidth estimation (DLI-ABE) [23], available bandwidth estimation method for IEEE 802.11 ad-hoc network with concurrent transmissions (ABCT) [24], measured based bandwidth estimation technique and flow admission control (BandEst) [25], cognitive agent based available bandwidth estimation using collision probability, idle period synchronization and random waiting time (BECIT) [26], MBA-AODV [27], analytical available bandwidth estimation including mobility (AABWM) [8].…”

Section: Passive Available Bandwidth Estimationmentioning

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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Section: Passive Available Bandwidth Estimationmentioning

confidence: 99%

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

Aina¹,

Yousef²,

Osanaiye³

2021

Preprint

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“…Most of the previous work classified the active available bandwidth estimation for admission control into single packet/one packet and packet pair [3], while other classifications of active technique are different but with the same role. In [15] the active available bandwidth estimation technique is classified into isolated probing, direct probing, and iterative probing.…”

Section: Active Bandwidth Estimation Techniquementioning

confidence: 99%

“…We therefore argue that classification of active bandwidth estimation into single packet/one packet and packet pair as categorized by [3] will simplify the readers understanding of the active bandwidth estimation process. A diagram showing the subdivision of active protocol is shown figure 1below:…”

Section: Active Bandwidth Estimation Techniquementioning

confidence: 99%

“…Authors in [3] proposed distributed LaGrange interpolation based available bandwidth estimation (DLI-ABE). In this protocol, the channel idle time synchronisation uses the actual channel utilization and collision rate.…”

Section: Proactive Passive Technique (Ppt)mentioning

confidence: 99%

“…To ensure this, the MAC layer takes the responsibility of allocating resources at different nodes, while the network layer considers resources along the entire communication route. The wireless network support for QoS when compared with its wired counterpart is not trivial, due to its lack of infrastructure and sharing of resources and medium [3] [4]. A mechanism that provides QoS assurance is known as admission control.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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