Impact of Propagation Models on QoS Issues of Routing Protocols in Mobile Ad Hoc Networks

Venkataramana, Attada; Rao, Jun; Setty, S. Pallam

doi:10.1007/978-3-319-13731-5_30

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our research scenarios have no similarity with the above work we have been taken OLSR routing protocol and also the different numbers of nodes 25 nodes and 50 nodes. Venkataramana et al (2015) examined the presentation of two beam ground and shadowing propagation models based on AODV and DSR steering conventions in MANETs. Propagation models indicated solid effect on the exhibition of steering conventions during recreations.…”

Section: Literature Reviewmentioning

confidence: 99%

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Hussain

Khan

2021

Preprint

View full text Add to dashboard Cite

Mobile Ad-hoc Network (MANET) is the most emerging and fast expanding technology since the last two decades. One of the major issue and challenging area in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The exchange of information from source to a destination is known as the process of routing. Spectacular amount of attention has been paid by researchers to reliable routing in ad-hoc networks. Efficiency and accuracy of a protocol depends on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at receiver is the responsibility of a propagation model while mobility of nodes is responsible for topology of the network. A huge amount of loss in performance is occurred due to variation of signal strength at receiver and obstacles between transmissions. Simulation tools are developed to analyze the weakness and strength of protocols along with different parameters that may impact the performance. The choice of a propagation models have an abundant effect on performance on routing protocols in MANET. In this research, it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average Throughput, average packet drop and average latency. The results predicted that propagation models and mobility has a strong impact on the performance of OLSR in considered scenarios.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Hussain

Khan

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The authors in (Venkataramana, Rao, & Setty, 2015) focused on Ricean, Rayleigh, Shadowing and Nakagami models by noticing the development of the routing layer presentations based on the features of the physical layer. For this reason, the author's matched the efficiency and performance of some routing schemes (DSDV, AODV, and DSR) for every propagation model as mentioned and then showed the simulation outcomes of the effect of diverse radio propagation model on the efficiency of the ad-hoc network.…”

Section: Related Literaturementioning

confidence: 99%

Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets

Hussain

Ali

et al. 2020

ADCAIJ

View full text Add to dashboard Cite

Mobile Ad-hoc Network (MANET) is the most emerging and fast-expanding technology in the last two decades. One of the major issues and challenging areas in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The efficiency and accuracy of a protocol depend on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at the receiver is the responsibility of a propagation model while the mobility of nodes is responsible for the topology of the network. A huge amount of loss in performance is occurred due to the variation of signal strength at the receiver and obstacles between transmissions. In this paper,it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average packet drop average latency and average Throughput. The results predicted that propagation models and mobility have a strong impact on the performance of OLSR in considered scenarios.

show abstract

Proposed Protocol to Enhance the Performance of AOMDV Routing Protocol Under Flooding Attack in Different Propagation Models

Waraich

Singh

2016

Emerging Research in Computing, Information, Communication and Applications

View full text Add to dashboard Cite

Impact of Propagation Models on QoS Issues of Routing Protocols in Mobile Ad Hoc Networks

Cited by 4 publications

References 4 publications

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets

Proposed Protocol to Enhance the Performance of AOMDV Routing Protocol Under Flooding Attack in Different Propagation Models

Contact Info

Product

Resources

About