Effect of network density on the performance of MANET routing protocols

Khan, Latif U.; Khan, Faheem; Khan, Naeem; Khan, Mujeebudheen; Pirzada, Bilal

doi:10.1109/iccpct.2013.6528968

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…According to researchers in (L. U. Khan, Khan, Khan, Khan, & Pirzada, 2013) proposed that the radio propagations model that includes shadowing model, free space model, and two ray ground model are evaluated and analyzed as a core contribution. These models are implemented in MANETs environments in the light of changing traffic and mobility parameters.…”

Section: Related Literaturementioning

confidence: 99%

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

Hussain

Ali

et al. 2020

ADCAIJ

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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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Section: Related Literaturementioning

confidence: 99%

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

Hussain

Ali

et al. 2020

ADCAIJ

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“…Reference [1] The movement pattern of MANET nodes is characterized by mobility models and each routing protocols exhibits specific characteristics of these models. Reference [2] In order to find the most adaptive and efficient routing protocol for dynamic MANET topologies, the behavior of routing protocols needs to be analyzed at varying node speeds, number of traffic nodes, network size, as well as node density. So there is need to evaluate the performance of routing protocols in different mobility scenarios and based on the comparison a protocol for a particular scenario is selected.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Reactive Routing Protocols in MANETs

Ubhi¹,

Kaur²

2015

JACN

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Abstract-Mobile wireless Ad Hoc networks (MANET) is an infrastructure free network, where every node functions as transmitter, router and data sink. Mobility and node density are the fundamental characteristics which differentiate MANET from other wireless or wired networks. Therefore, MANET routing protocols are designed to adaptively cater to dynamic changes in topology while maximizing the throughput and packet delivery ratio, and minimizing delay, aggregate good put, average jitter and minimum packet loss. In this paper, Ad Hoc Demand Vector (AODV) and Dynamic Source Routing (DSR) are used to implement the MANET which have been simulated on QualNet5.0 simulator. The impact on mobility and change in node density factor in MANET is investigated and compared for reactive routing protocols such as AODV and DSR. The simulative study on MANET routing protocols aims to determine the performance of current MANET routing protocols with respect to mobility and node density factors. Results vary when we change the node density. It is observed that an increase in node density has different impact on all routing protocols under various mobility patterns, i.e. a degradation of the network performance. However, the degree of degradation varies for different combinations of protocols. The performance of RWP model provides a baseline to judge the quality of routing protocols when there is no group movement. The results of this network are tabulated along with a comprehensive analysis which compares throughput, packet delivery ratio, end to end delay, aggregate good put, average jitter value and packet dropping.Index Terms-MANET, QualNet5.0, AODV, DSR.

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