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Efficient Optimization of Adaptive Transmission Range in Manets to Maximize the Packet Delivery Ratio

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  • Shadia S.Baloch

    (Department of Computer Science, Isra University, Hyderabad. Pakistan)

Abstract

Mobile Ad-hoc Network (MANET) is a self-systematized network, hasn’t fixed infrastructure and centralized administration system. Due to the frequent changes in network topology, MANET nodes are free to change locations anywhere they like. Novelty statement: Typically, mobile devices in MANET are configured identically to have same transmission ranges, homogeneously. Previous research proves the optimum homogeneous transmission range that maximizes Packet Delivery Ratio (PDR). Mostly, it has been shown inversely proportional to the node density, and transmission range itself along with its PDR is not being studied. This study aims to show that instead of using an optimum homogenous transmission range for all mobile nodes, a non-homogenous scheme, where optimum transmission range for each node is computed separately. Material and Method: In order to validate the study, simulations were performed on the network simulator NS3 with node ranges of 25, 50, and 100 over an area of 500 m2. Destination Sequences Distance Vector (DSDV) Protocol was selected to perform simulations in which each scenario was executed for 300 seconds (5 minutes).Result and Discussion: The evaluation of results show that the maximum PDR can be achieved by computing a separate transmission range for each node as compared to the homogenous transmission ranges.Concluding Remarks: In the end, it can be concluded that adaptive transmission ranges areoptimally effective as compared to homogenous transmission range.

Suggested Citation

  • Shadia S.Baloch, 2023. "Efficient Optimization of Adaptive Transmission Range in Manets to Maximize the Packet Delivery Ratio," International Journal of Innovations in Science & Technology, 50sea, vol. 5(3), pages 270-283, September.
    • Handle: RePEc:abq:ijist1:v:5:y:2023:i:3:p:270-283
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    References listed on IDEAS

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    1. David A. Goldberg & Martin I. Reiman & Qiong Wang, 2021. "A Survey of Recent Progress in the Asymptotic Analysis of Inventory Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1718-1750, June.
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