Graph-Based Mobility Model for Mobile Ad Hoc Network Simulation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Proceedings of the 9th annual international conference on Mobile computing and networking
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Modeling mobility for vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Extracting places from traces of locations
Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
An integrated mobility and traffic model for vehicular wireless networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
Building realistic mobility models from coarse-grained traces
Proceedings of the 4th international conference on Mobile systems, applications and services
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
UrbiSim: a framework for simulation of ad hoc networks in realistic urban environment
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
A realistic trace-based mobility model for first responder scenarios
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Modelling mobility: a discrete revolution
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming: Part II
MONGOOSE: a MObility sceNario Generation tOOl for Structured Environments
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
Hi-index | 0.00 |
Mobile ad-hoc networks (MANETs) and especially mobile Wireless Sensor Networks (mWSNs) are embedded in the environment and therefore stand under strong influence of its specific 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 specific 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 fine-tuned.