Route Availability as a Communication Quality Metric of a Mobile Ad Hoc Network

Yashima, Tamotsu; Takami, Kazumasa

doi:10.3390/fi10050041

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Furthermore, Chhagan Lal et al [20] proposes a Multi-Constraint QoE-centric Routing technique (MCQR) for efficient real-time video streaming over Mobile Ad-hoc Networks. In contrast, [21] worried about the instability of MANET routing, proposes a Route Availability (RA) as a new metric for route non-uniformity, while analyzing its impact on QoS and, eventually, on QoE. With similar objectives in sight, our paper shall also aim for the enhancement of the QoE related to video streaming services over MANETs, with a particular focus on node mobility within said networks; for it is no secret that this very feature (mobility) is a double-edged factor, the successful management of which can make or break the entirety of a high-fidelity video streaming framework.…”

Section: Introductionmentioning

confidence: 90%

Enhancing QOSQOE in MANETs using OLSR Protocol

Ziani*¹,

Enneya²

2019

IJITEE

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Video streaming over Mobile Ad-hoc Networks (MANETs) has been on the fore as one of the most chiefly solicited web services. Within this context, the enhancement of the Quality of Experience (QoE) on such platforms, whose signature characteristic is the real-time fluctuation of their Mobile Nodes (MNs), remains a high-stakes challenge for highfidelity transmission via the extant MANET routing protocols. Indeed, the free mobility of MNs (i.e. their real-time physical reallocation, viz. intra-network movement), renders network topology often subject to unpredictable fluctuations. It is this margin of relative unpredictability which lends itself to such instances where QoE, as perceived by the Customer/User, may be subject to varying degrees of depreciation.In this perspective, our contribution in this paper aims to optimize the MANETs' mobility system, through the re-adaptation of some extant MANET routing protocols, so as to afford safer routing courses (lower mobility thresholds equate to lower chances of noise and/or data corruption/loss); all for the capital purpose of improving subjective quality (i.e. the anticipated end-user's personal assessment of the service).For the implementation of our MANET network, our two-fold choice consisted of the NS2 version 2.9 (a powerful platform with highly reliable protocol support), supplemented by the Evalvid Framework (a fieldproven tool according to many expert ratings, ideal for close monitoring of QoE metrics).We have considered various video transmission scenarios through the OLSR protocol, one of the most well-known and reliable proactive MANET routing protocols .As for QoE prediction, we expect the mean opinion scores (MOS) to provide a metric template for a rough estimation of the end-users' anticipated appraisal .The results are to demonstrate, as we shall see, that the modified heuristic algorithm of OLSR, leaning on the underlying criterion of mobility, can lead to a significant performance boost in MANETs and, by the same token, to higher returns of QoS and QoE

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Section: Introductionmentioning

confidence: 90%

Enhancing QOSQOE in MANETs using OLSR Protocol

Ziani*¹,

Enneya²

2019

IJITEE

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“…The throughput condition means to achieve the minimum threshold with the highest throughput of the entire route among candidate. A new concept of route availability was presented in [19] as a measurement of route no uniformity in a MANET as it represents the QoS or QoE of video streaming. They confirmed two QoS metrics and founded that route availability is affected by changes in video quality.…”

Section: Introductionmentioning

confidence: 99%

Optimal resource allocation for route selection in ad-hoc networks

Farhan¹,

Croock²

2021

TELKOMNIKA

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Nowadays, the selection of the optimum path in mobile ad hoc networks (MANETS) is being an important issue that should be solved smartly. In this paper, an optimal path selection method is proposed for MANET using the Lagrange multiplier approach. The optimization problem considers the objective function of maximizing bit rate, under the constraints of minimizing the packet loss, and latency. The obtained simulation results show that the proposed Lagrange optimization of rate, delay, and packet loss algorithm (LORDP) improves the selection of optimal path in comparison to ad-hoc ondemand distance vector protocol (AODV). We increased the performance of the system by 10.6 Mbps for bit rate and 0.133 ms for latency.

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“…A new concept of route availability was presented in [16] as a measurement of route no uniformity in a MANET as it represents the QoS or QoE of video streaming. They confirmed that RA had a linear correlation with the two QoS metrics and founded that RA is more affected by the video quality.…”

Section: Introductionmentioning

confidence: 99%

Optimized routing algorithm for maximizing transmission rate in D2D network

Farhan¹,

Croock²

2021

IJEECS

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Wireless devices have been equiping extensive services over recent years. Since most of these devices are randomly distributed, a fundamental trade-off to be addressed is the transmission rate, latency, and packet loss of the ad hoc route selection in device to device (D2D) networks. Therefore, this paper introduces a notion of weighted transmission rate and total delay, as well as the probability of packet loss. By designing optimal transmission algorithms, this proposed algorithm aims to select the best path for device-to-device communication that maximizes the transmission rate while maintaining minimum delay and packet loss. Using the Lagrange optimization method, the lagrangian optimization of rate, delay, and the probability of packet loss algorithm (LORDP) is modeled. For practical designation, we consider the fading effect of the wireless channels scenario. The proposed optimal algorithm is modeled to compute the optimal cost objective function and represents the best possible solution for the corresponding path. Moreover, a simulation for the optimized algorithm is presented based on optimal cost objective function. Simulation results establish the efficiency of the proposed LORDP algorithm.Wireless devices have been equiping extensive services over recent years. Since most of these devices are randomly distributed, a fundamental trade-off to be addressed is the transmission rate, latency, and packet loss of the ad hoc route selection in device to device (D2D) networks. Therefore, this paper introduces a notion of weighted transmission rate and total delay, as well as the probability of packet loss. By designing optimal transmission algorithms, this proposed algorithm aims to select the best path for device-to-device communication that maximizes the transmission rate while maintaining minimum delay and packet loss. Using the Lagrange optimization method, the lagrangian optimization of rate, delay, and the probability of packet loss algorithm (LORDP) is modeled. For practical designation, we consider the fading effect of the wireless channels scenario. The proposed optimal algorithm is modeled to compute the optimal cost objective function and represents the best possible solution for the corresponding path. Moreover, a simulation for the optimized algorithm is presented based on optimal cost objective function. Simulation results establish the efficiency of the proposed LORDP algorithm

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Route Availability as a Communication Quality Metric of a Mobile Ad Hoc Network

Cited by 9 publications

References 14 publications

Enhancing QOSQOE in MANETs using OLSR Protocol

Enhancing QOSQOE in MANETs using OLSR Protocol

Optimal resource allocation for route selection in ad-hoc networks

Optimized routing algorithm for maximizing transmission rate in D2D network

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