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The 6th International Workshop on OMNeT++

Research Article

MONGOOSE: a MObility sceNario Generation tOOl for Structured Environments

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  • @INPROCEEDINGS{10.4108/icst.simutools.2013.251606,
        author={Adriano Galati and Karim Djemame and Greenhalgh Chris},
        title={MONGOOSE: a MObility sceNario Generation tOOl for Structured Environments},
        proceedings={The 6th International Workshop on OMNeT++},
        publisher={ACM},
        proceedings_a={OMNET WORKSHOP},
        year={2013},
        month={7},
        keywords={mobility model scenario generation software delay tolerant mobile ad-hoc networks},
        doi={10.4108/icst.simutools.2013.251606}
    }
    
  • Adriano Galati
    Karim Djemame
    Greenhalgh Chris
    Year: 2013
    MONGOOSE: a MObility sceNario Generation tOOl for Structured Environments
    OMNET WORKSHOP
    ICST
    DOI: 10.4108/icst.simutools.2013.251606
Adriano Galati1,*, Karim Djemame1, Greenhalgh Chris2
  • 1: University of Leeds
  • 2: University of Nottingham
*Contact email: a.galati@leeds.ac.uk

Abstract

Mobility models play a key role in the evaluation of wireless network protocols and applications. Simulation results obtained with an unrealistic model may not reflect the true performance of a system in real environments. Besides, different environments may be characterized by different patterns of mobility which require simulation scenarios to be supported by suitable mobility models. The choice of the mobility model and its parameters has significant impact on the result of the simulations. In this paper we present MONGOOSE (MObility sceNario Generation tOOl for Structured Environments), a highly flexible and easily extendable software tool for the simulation of mobility scenarios in structured environments such as shopping malls, urban areas, museums, schools, hospitals, music festivals, amusement parks, stadiums, airports. Moreover, new mobility models can be easily added to the list of those already provided and some of their mobility parameters and simulation playground can be described without programming requirements. Here, we use MONGOOSE to show the impact of four different mobility models on the performance of two well-known delay tolerant routing protocols, Epidemic and Prophet.

Keywords
mobility model scenario generation software delay tolerant mobile ad-hoc networks
Published
2013-07-17
Publisher
ACM
http://dx.doi.org/10.4108/icst.simutools.2013.251606
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