Time Account Based Path Stabilization in MANET

T, Manimegalai; Jayakumar, C.

doi:10.1109/wccct.2014.46

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…In [2][3], performance of mobile ad hoc network is analysed by considering different mobility models such as Gauss Markov model and random way point mobility models. To generate mobility model based scenarios, Bonn-motion tool has been used.…”

Section: Related Workmentioning

confidence: 99%

Energy and Mobility Models based Performance Evaluation in MANET

Sarao

2023

IJRITCC

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Mobile ad hoc networks are constituted with randomly moving nodes and movement of these nodes is depended upon moving model used in the network. Performance of the network directly depends on the movements and energy consumed in a specific time period by the nodes. Also performance of the protocol used for communication depends on the type of mobility model used by that specific protocol. In this paper, performance of AODV (Ad hoc On demand Distance Vector) routing protocol have been evaluated in respect of five mobility models Random Way Point Mobility Model, Manhattan Grid Mobility Model, Gauss Markov Mobility Model, Random Direction Mobility Model, RPGM (Reference Point Group Mobility)). Performance metrics are considered as: average energy consumption and average residual energy. By varying the network connections, speed of the nodes, and node densities, in different scenarios, routing protocol has been simulated in network simulator 2. Simulation results show that reference point group mobility model is best suitable model as compared to other mobility models for AODV protocol in terms of energy consumption.

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Section: Related Workmentioning

confidence: 99%

Energy and Mobility Models based Performance Evaluation in MANET

Sarao

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

Time Account Based Path Stabilization in MANET

Cited by 1 publication

References 8 publications

Energy and Mobility Models based Performance Evaluation in MANET

Energy and Mobility Models based Performance Evaluation in MANET

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