Analyze the network layer protocols on the basis of mobility, pause time and simulation time in MANET

Mishra, Monalisa; Dash, Prasant Kumar; Hota, Lopamudra; Panda, Madhumita

doi:10.1109/icpcsi.2017.8392350

Cited by 5 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our research scenario is different from these work because we have been taken OLSR protocol and have been different parameters. Mishra et al (2017) talked about the presentation and correlation of various steering conventions, for example, AODV, DSDV, AOMDV and DSR over responsive stream (TCP) and inert stream (UDP). To break down the presentation of directing conventions in MANET dependent based on various reenactment parameters like throughput, bundle drop, start to finish delay, lingering vitality and parcel conveyance proportion (PDR).…”

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

“…MANETs face numerous challenges; due to node mobility, resource constraints, unreliable links, wireless radio medium, lack of infrastructure, absence of centralized entity and design of conventional routing protocols. Therefore, for designing MANET some issues should be considered consideration first (Mishra, Dash, Hota, & Panda, 2017;Patil, 2016). The commercial achievement of cellular communication has controlled a powerful consideration among wireless engineers in thoughtful and forecasting radio propagation features in many urban and suburban regions and even without buildings.…”

Section: Routing Protocols In Manetsmentioning

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

Simulation Based Performance Analysis of Proactive, Reactive and Hybrid Routing Protocols in Wireless Sensor Network

Ema¹,

Anik²,

Nahar³

et al. 2020

2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

View full text Add to dashboard Cite

Analyze the network layer protocols on the basis of mobility, pause time and simulation time in MANET

Cited by 5 publications

References 13 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

Simulation Based Performance Analysis of Proactive, Reactive and Hybrid Routing Protocols in Wireless Sensor Network

Contact Info

Product

Resources

About