2011
DOI: 10.5121/ijwmn.2011.3302
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Improving AODV Performance Using Dynamic Density Driven Route Request Forwarding

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Cited by 17 publications
(14 citation statements)
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“…The reduction in route request transmissions in a network using AODV_EXT_BP has resulted in 3.3% which is 0.3% better energy efficiency savings compared to AODV_EXT [12], more than 70% reduction in the number of dropped packets because of reduced packet collision and increased data throughput. The results from this simulation can be compared with those in the research conducted by Khelifa and Maaza [32] proposed the Energy Reversed Ad-Hoc On-Demand Distance Vector (ER-AODV) routing protocol and consumes up to 2.0% more power than AODV_EXT_BP.…”
Section: Discussionmentioning
confidence: 99%
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“…The reduction in route request transmissions in a network using AODV_EXT_BP has resulted in 3.3% which is 0.3% better energy efficiency savings compared to AODV_EXT [12], more than 70% reduction in the number of dropped packets because of reduced packet collision and increased data throughput. The results from this simulation can be compared with those in the research conducted by Khelifa and Maaza [32] proposed the Energy Reversed Ad-Hoc On-Demand Distance Vector (ER-AODV) routing protocol and consumes up to 2.0% more power than AODV_EXT_BP.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, many probabilistic approaches have been proposed in [8][9][10][11] with the aim to alleviate the flooding phenomenon and solve the broadcast storm problem. The authors have already proposed a probability-based algorithm in [12] which is an improved version of Ad-hoc On-Demand Distance Vector Routing (AODV), the AODV_EXT, which reduces energy consumption by 3%. In this article, we propose a modification of AODV, the AODV_EXT_BP, protocol which improves the energy and data transmission efficiency of the network by using the Bayesian probability theory and give better results compared to AODV_EXT.…”
Section: Introductionmentioning
confidence: 99%
“…A majority of the wireless sensors on the market operate in the 2.4-2.5 GHz band [18]. Many researchers planning WSNs use the two-ray (consisting of the direct and ground reflected paths) model to predict network coverage [19]. For ground reflection path to exist the boundary of the first Fresnel Zone, defined by (11) must be greater than, the antenna height.…”
Section: Evaluation Of Vegetation Attenuation Modelsmentioning
confidence: 99%
“…Another study that focused on an adaptive probability value based on number of neighbors was proposed by [15]. The author tried to overcome the drawbacks of fixed probability.…”
Section: Algorithm: Fixed Probabilistic Scheme (Fp)mentioning
confidence: 99%