Research Article
Graph-Based Mobility Model for Urban Areas Fueled with Real World Datasets
@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2008.2999, author={Jochen Koberstein and Hagen Peters and Norbert Luttenberger}, title={Graph-Based Mobility Model for Urban Areas Fueled with Real World Datasets}, proceedings={1st International ICST Workshop on OMNeT++}, publisher={ACM}, proceedings_a={OMNET++}, year={2010}, month={5}, keywords={mobility model wireless sensor networks simulation real world experiment road grid}, doi={10.4108/ICST.SIMUTOOLS2008.2999} }- Jochen Koberstein
Hagen Peters
Norbert Luttenberger
Year: 2010
Graph-Based Mobility Model for Urban Areas Fueled with Real World Datasets
OMNET++
ICST
DOI: 10.4108/ICST.SIMUTOOLS2008.2999
Abstract
Mobile ad-hoc networks (MANETs) and especially mobile Wireless Sensor Networks (mWSNs) are embedded in the environment and therefore stand under strong in uence of its specifc characteristics. Beside e.g. sensor input, nodes motion patterns are supposed to be a very basic factor regarding performance. Hence simulations may need to account scenario specifc mobility patterns while keeping the tradeoff related to simulation complexity in mind. This contribution proposes a graph based mobility model, designed to resemble probabilistic node movements according to real world node paths like they may be induced by road grids. The model is presented along with a real world mWSN sample deployment from which the paths are extracted and against which the simulation fne-tuned.
