Effect of 3 Key Factors on Average End to End Delay and Jitter in MANET

Hakak, Saqib; Latif, Suhaimi Abd; Anwar, Farhat; Alam, M. K.; Gilkar, Gulshan Amin

doi:10.5614/itbj.ict.res.appl.2014.8.2.3

Cited by 8 publications

(9 citation statements)

References 8 publications

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“…In MANETs, routing is a difficult task due to the changes in network topology, making it difficult to select a particular protocol. Several studies have focused on comparing protocols, paying less attention to other factors such as packet size, node mobility, Direct Sequence Spread Spectrum (DSSS) rate and the mobility pattern, among others [29]. Therefore, it is essential to determine the importance of these factors for network functioning.…”

Section: Experiments Desing Using 2 K Factorialmentioning

confidence: 99%

“…Therefore, it is essential to determine the importance of these factors for network functioning. In [29] the authors consider three factors: the routing protocol (Dynamic MANET On-demand (DYMO) and Ad hoc On-Demand Distance Vector (AODV)), packet size, and DSSS rate. These factors influence the average delay and the average jitter, which are network performance factors that affect the buffering requirements for video devices and downstream networks [29].…”

Section: Experiments Desing Using 2 K Factorialmentioning

confidence: 99%

“…The remainder of the paper is organized as follows: Section 2 describes the classification of localization techniques and some scenarios for evaluating localization algorithm performance in real and simulated environments [19,[22][23][24][25][26]; mention is also made of some examples of experiment designs that use 2 k factorial analysis [27][28][29][30]. Section 3 describes the 2 k factorial methodology used.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Factorial Design Analysis for Localization Algorithms

Mass-Sanchez¹,

Ruiz-Ibarra²,

Gonzalez-Sanchez³

et al. 2018

Applied Sciences

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Localization is a fundamental problem in Wireless Sensor Networks, as it provides useful information regarding the detection of an event. There are different localization algorithms applied in single-hop or multi-hop networks; in both cases their performance depends on several factors involved in the evaluation scenario such as node density, the number of reference nodes and the log-normal shadowing propagation model, determined by the path-loss exponent (η) and the noise level (σdB) which impact on the accuracy and precision performance metrics of localization techniques. In this paper, we present a statistical analysis based on the 2k factorial methodology to determine the key factors affecting the performance metrics of localization techniques in a single-hop network to concentrate on such parameters, thus reducing the amount of simulation time required. For this proposal, MATLAB simulations are carried out in different scenarios, i.e., extreme values are used for each of the factors of interest and the impact of the interaction among them in the performance metrics is observed. The simulation results show that the path-loss exponent (η) and noise level (σdB) factors have the greatest impact on the accuracy and precision metrics evaluated in this study. Based on this statistical analysis, we recommend estimating the propagation model as close to reality as possible to consider it in the design of new localization techniques and thus improve their accuracy and precision metrics.

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Section: Experiments Desing Using 2 K Factorialmentioning

confidence: 99%

Section: Experiments Desing Using 2 K Factorialmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Factorial Design Analysis for Localization Algorithms

Mass-Sanchez¹,

Ruiz-Ibarra²,

Gonzalez-Sanchez³

et al. 2018

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In the same work various parameters of network performance (routing protocol, node density, node speed, traffic load, and pause time) are considered to analyze the factors and interactions for the network performance of DSR and AODV routing protocols by determining various metrics (packet delivery ratio, average delay, discovery time, and recovery time) using a factorial design. Many other works used factorial design to quantify the main and interactive effects [11,10,12,13]. The authors in [14], have used a factorial design technique to analyze routing mobile ad-hoc networks and have developed two first-order linear models that define the relationship between the influential parameters and two performance metrics.…”

Section: Related Workmentioning

confidence: 99%

Response Surface Methodology for Performance Analysis and Modeling of MANET Routing Protocols

Daas¹,

Chikhi²

2018

IJCNC

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“…Through the simulation study they have found that the LAR protocol reduces the energy consumption. The performance of DYMO and AODV protocol using QualNet simulator have been analyzed by Hakak et al [18]. They have performed the simulation study using 100 nodes with random waypoint mobility model with the max speed 30 mps.…”

Section: Related Workmentioning

confidence: 99%

Impact of Mobility on MANETs Routing Protocols Using Group Mobility Model

Kumar¹,

Agrawal²,

Sharma³

2017

IJWMT

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The MANET routing protocols should be tested under realistic conditions of the network including various parameters such as network size, representative data traffic models, realistic movements of the mobile users, etc. Many factors impinge the performance evaluation of MANETs routing protocols. Mobile nodes are communicated with each other with the help of routing protocols. Unpredictable movement of a mobile node affect the routing information which directly interrupt the subsist communication. A mobility model is used to depict the realistic movements of mobile nodes in the designed scenario. In this study the group mobility model has been used to deploy the mobility effect in the scenario. The goal of this paper is to investigate the impact of group mobility on performance of routing protocols under group mobility model using QualNet simulator. In the paper it is illustrate that how the performance results of an ad hoc network protocol drastically change with the increasing node density.The various scenarios investigated with varying density of nodes in groups. Performance analysis is carried out on the basis of performance metrics under group mobility model. The outcome of this work shows that mobility has a detrimental impact on the performance of routing protocols. From the simulation results, it is shown that the DSR protocol clearly outperform all other routing protocols with increasing node density under group mobility model.

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Effect of 3 Key Factors on Average End to End Delay and Jitter in MANET

Cited by 8 publications

References 8 publications

Factorial Design Analysis for Localization Algorithms

Factorial Design Analysis for Localization Algorithms

Response Surface Methodology for Performance Analysis and Modeling of MANET Routing Protocols

Impact of Mobility on MANETs Routing Protocols Using Group Mobility Model

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