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Type of Document Master's Thesis Author Aia, Mahesh , Author's Email Address mahesh_aia@yahoo.com URN etd-08072005-194426 Title Directed Waypoint Model: A Hybrid Approach to Realistic Mobility Modeling in Mobile Ad-hoc Networks Degree Master of Science Graduate Program Computer Networking Advisory Committee
Advisor Name Title Dr. Mihail L. Sichitiu Committee Chair Dr. Rudra Dutta Committee Member Dr. Yannis Viniotis Committee Member Keywords
- mobility modeling
- MANETs
- MANET routing protocols
- detailed simulation frameworks
- stochastic mobility models
- simulation modeling
- spatial and temporal dependencies
- performance evaluation
Date of Defense 2005-08-05 Availability unrestricted Abstract Researchers are highly dependent on simulations to compare and evaluatethe performance of Mobile Ad-hoc networking protocols. Mobility modeling plays a very important role in simulation-based studies of MANET protocols, since the mobility of nodes is the limiting factor in the performance of such protocols. Currently, simulations of MANET protocols rely on simplistic, purely stochastic models such as the random waypoint. These models do
not reflect the motion of real world MANET nodes, which may be deployed in
diverse scenarios. At the present time, the only available alternative to these models is fine-grained detailed simulations based on extensive surveys of actual node behavior, or extensive sets of real world traces. This work proposes an alternative hybrid
mobility model that extracts scenario-specific information from real traces
and generates realistic node movements for particular scenarios. The distinguishing features of our model are
its ability to reproduce spatial-temporal node movement properties from sample traces and its general
adaptability to traces from any real-life scenario. We develop a framework for our model and apply it to reference traces from several realistic scenarios. The hybrid model is then evaluated
for accuracy by comparing the performance of
MANET routing protocols using random waypoint with realistic parameters and our model against
the original reference traces used by our model. The results show the relevance of accounting for spatial and temporal
aspects of node movements in mobility models.
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