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

  • Altaf Hussain
    University of Agriculture Peshawar, Pakistan
  • Tariq Hussain
    Univeristy of Agriculture Peshawar uom.tariq[at]
  • Iqtidar Ali
    Univeristy of Agriculture Peshawar
  • Muhammad Rafiq Khan
    Univeristy of Agriculture Peshawar


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. 
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Hussain, A., Hussain, T., Ali, I., & Khan, M. R. (2020). Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9(1), 61–84.


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