Posts Tagged ‘Gauss Markov’

Our Draft Paper For International Journal Computer Science and Engineering (IJCSE)

June 19, 2011

Performance Analysis of AODV-UI Routing Protocol With Energy Consumption Improvement Under Mobility Models in Hybrid Ad hoc Network

Abstract

In mobile ad hoc networks (MANETs), routing protocol plays the most important role. In the last decade, Ad hoc On-demand Distance Vector (AODV) routing protocol becomes the attention of focussed research on MANETs world wide. A lot of protocols had been proposed to improve and optimize AODV routing protocol to achieve the best in quest of reliable protocol. In this paper, we present some improvement suggestion to AODV routing protocol. Our proposed protocol, called AODV-UI, improved AODV in gateway interconnection, reverse route and in energy consumption. We also measure performance indicators for some metrics, such as energy, routing overhead, end-to-end delay, and packet delivery ratio. We performed our simulation scenarios with three mobility model with different maximum speed and sources in hybrid ad hoc network. The result shows that AODV-UI is more stable when it is used in random way point mobility model in any speed and number of sources.

AODV; routing protocol; energy consumption; hybrid ad hoc network; MANETs

You can download this paper here.



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BonnMotion : A mobility scenario generation and analysis tool

May 12, 2011

Copyright © 2002-2011 University of Bonn
This software is distributed under the terms of the GNU General Public License which is included in the archive.

BonnMotion is a Java software which creates and analyses mobility scenarios. It is developed within the Communication Systems group at the Institute of Computer Science 4 of the University of Bonn, Germany, where it serves as a tool for the investigation of mobile ad hoc network characteristics. The scenarios can also be exported for the network simulators ns-2, ns-3, GloMoSim/QualNet, COOJA, MiXiM, and ONE. Several mobility models are supported, namely

  • the Random Waypoint model,
  • the Random Walk model,
  • the Gauss-Markov model,
  • the Manhattan Grid model,
  • the Reference Point Group Mobility model,
  • the Disaster Area model,
  • the Random Street model, and
  • further more.

For further information consult the documentation. For questions and feedback concerning BonnMotion, please subscribe to the BonnMotion mailing list.

For download BonnMotion, please visit here.