Comparison of different Radio Propagation Models with and without Black Hole Attack on AODV Routing Protocol in MANET

Mehta, Abhinav; Jain, Rohit; Somani, Vinay

doi:10.5120/9892-4459

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…The communication range of the wireless nodes is set at the default distance of 250m. The transmission range of the node can be adjusted from the two ray ground formula, as below [6]:…”

Section: ) Simulation Environmentmentioning

confidence: 99%

Enhancing Ad hoc Networks Performance by Using Location and Energy Information

Elhaj¹,

Abbas²

2022

kuej

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Mobile ad hoc network (MANET) is considered to be a promising technology for the near future. This calls for more efficient mechanisms and methods to fulfil the expectation of end users and at the same time make the best use of resources. Although of its variety of applications and potentials, MANET has issues such as resource limitation, routing overhead and changing of wireless link. This paper proposes three algorithms that can diminish the overhead and energy consumption of MANET and at the same time improve the overall performance of the network. By Controlling the Route Request (RREQ) broadcasting in the Ad-hoc On-Demand Distance Vector (AODV) routing protocol using location and energy information, a better resource management and hence a better performance for the overall network is achieved.

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“…The communication range of the wireless nodes is set at the default distance of 250m. The transmission range of the node can be adjusted from the two ray ground formula, as below [6]:…”

Section: ) Simulation Environmentmentioning

confidence: 99%

Enhancing Ad hoc Networks Performance by Using Location and Energy Information

Elhaj¹,

Abbas²

2022

kuej

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“…Hence, the tilt reliance of shadowing may require a reexamining of as of now accessible propagation models and suspicions. Mehta et al (2013) examined and analyzed the exhibition of three significant radio propagation models that are two beam ground, free space and shadowing with the presentation assessment measurements that are PDR and E2ED. The MANET convention considered here is AODV and they have likewise thought to be a malignant assault known as dark gap assault.…”

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

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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.

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“…This, in turn, can then be applied for areas that face difficulties with communication like signal strength, like in communities in the provinces, or farther areas. In line with this, wireless communications with several applications in different aspects have been in demand nowadays [29,30,31].…”

Section: Recommendationsmentioning

confidence: 99%

Radio Wave Propagation: Simulation of Free Space Propagation Path Loss

Africa¹

2020

IJETER

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In free space propagation, the propagation path between a transmitter and a receiver is direct to one another. Having no obstructions present in free space, there are minimal to no attenuation in signals. Still, there exists a free-space path loss. This is defined as the loss of the radio wave signal or its signal while it travels in free space. Determining the path loss is crucial for designing communication systems so that it can work at its best despite the issues that can be encountered. Additionally, path loss has been used in radio communications and wireless survey tools in order to identify the signal strength of antennas. With the increase in importance for wireless devices such as survey tools and software, it has become helpful to understand the concept of radio path loss as a whole. This paper focuses on simulating the free space propagation path loss to have a clear understanding of its function and the factors that affect it. The software used for this is MATLAB so that graphs can be obtained to have a direct and simple visual of the path loss.

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Comparison of different Radio Propagation Models with and without Black Hole Attack on AODV Routing Protocol in MANET

Cited by 7 publications

References 5 publications

Enhancing Ad hoc Networks Performance by Using Location and Energy Information

Enhancing Ad hoc Networks Performance by Using Location and Energy Information

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 Wave Propagation: Simulation of Free Space Propagation Path Loss

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