Group 10

**Title of the Project: The group mobility model generator

**Group Members: Sunae Shin, Hyungbae Park

The discovering the similarities and associations are valuable for improving the network performance. For example, defining the mobility patterns for the group members could give positive effects for predicting the movement of the group or saving the radio resources.
Demand for group mobility models is worth to simulate in the realistic environment for the wireless mobile users when users travel in an aggregated style. There are many situations that the nodes move together, especially in ad hoc networks. In the general situation, for example, the guards of celebrity may move together around the celebrity to protect or to take the mission. In this case, the movement of the group is needed to be considered.

There are several mobility models which attempt to describe the real world situation or to simulate the realistic movement model in ad-hoc network. However, the protocol developers need to the implement the mobility pattern to test their developed protocol. Thus, there is an issue about selecting the mobility model for testing the performance of the protocol. The experiment model can effect considerably to evaluate the developed protocol. The validation of the importance of the choosing model is described in [1].
Our main goal is generating group mobility model with semantic association between query from the user and the model of group movement. Additionally, NS2 is useful and well-known simulation tool for network. Thus, providing the scenario in NS2 gives advantages for developers.

The significance of choosing proper mobility model for evaluate protocol is described in [1]. In this paper, different mobility models showed diverse values in performance metrics within the same routing protocol. Performance is estimated in packet delivery ratio, delay, hop count, and protocol overhead. For example, RPGM showed the lowest hop count and the least amount of overhead. In contrast, random mobility model had the highest hop count and the highest amount of overhead. Thus, appropriate group mobility can demonstrate the effectuation of the protocol.

For the user’s query, we hope to return semantically associated group mobility scenario. The returned scenario which is matched with user’s intention will be generated by process of ontology for meaningful coalition. Our ontology specifies the characteristics of the group mobility pattern and those features are combined to designate each group applications. Thus, we hope that the users can obtain the efficient mobility model for their simulation. The scenario is to be returned with NS2 simulator code so that the user can plug it directly into the simulator. Since NS2 simulator is well-known tool for the network, providing the scenario in NS2 code gives benefits for developers.

[1] Tracy Camp, Jeff Boleng, Vanessa Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Mobile Ad Hoc Networking – Research, Trends and Applications, Volume 2 Issue 5, Pages 483 - 502, Sep 11 2002

**Video Link of the Project:

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