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Título
Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets
Autor(es)
Assunto
MANET
OLSR
Prop-agation Models
Sparse
Dense
MANET
OLSR
Prop-agation Models
Sparse
Dense
Fecha de publicación
2020-02-21
Editor
Ediciones Universidad de Salamanca (España)
Citación
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9 (2020)
Resumen
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.
URI
ISSN
2255-2863
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