Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Graph-Based Mobility Model for Mobile Ad Hoc Network Simulation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Recent advances in mobility modeling for mobile ad hoc network research
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Real-world environment models for mobile network evaluation
IEEE Journal on Selected Areas in Communications
A Cluster-Based Mobility Model for Intelligent Nodes
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Simulating mission critical mobile ad hoc networks
Proceedings of the 4th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
A sighting-aware obstacle mobility model for ad hoc network
International Journal of Wireless and Mobile Computing
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The study of mobile ad hoc networks depends on understanding protocols from simulations, before applying on a real world setting. To produce a real-world environment within which an ad hoc network can be formed among a set of nodes, there is a need for the development of a realistic, generic and comprehensive mobility model instead of random-based models. Previously, realistic mobility models such as obstacle mobility and pathway mobility model, etc, has been proposed. In these mobility models, there are movement paths and obstacles that constrain the movements and signals of the nodes. In this paper, we propose a new Obstacle Mobility Model Based On Activity Area. In this model our focus is on the movement pattern of the nodes, first we constructed environment simulation that included predefined pathways and obstacles. Then, we consider several clusters each of which has a given geographic activity area, speed and capacity. The nodes become member of clusters. In our model similar to real world, each node belongs to a particular activity area that its existence probability, in this area, is more than other places. This paper shows that various MANET environments can be modeled based on this work. A sample environment is also simulated and the result is compared with the Obstacle Mobility and Random Waypoint model. The results show that movement pattern and speed of the nodes have a significant influence on the performance of MANET protocols.