A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
EMO: A statistical encounter-based mobility model for simulating delay tolerant networks
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Predicting network availability using user context
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
Augmented experiment: participatory design with multiagent simulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Similarity analysis and modeling in mobile societies: the missing link
Proceedings of the 5th ACM workshop on Challenged networks
Gauging human mobility characteristics and its impact on mobile routing performance
International Journal of Sensor Networks
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In Mobile Social Networks(MSN) individuals with similar interests or commonalities, connect to each other using the mobile phones. Validation of protocols for these networks relies almost exclusively on simulations. Thus a simulation using a mobility model that captures the behaviour of nodes in the real world is needed. The current simulations techniques use random models to generate dynamic MSN. However, the random models are not suitable for MSN simulations. In this paper we use Second Life(SL) as a simulation environment, which can support dynamics in simulation models by allowing real users to participate using their avatars. SL can capture dynamics of movement models as avatars have different movement speed, different movement patterns and different neighbours. Therefore, in this paper we propose the Virtual Social Simulated Environment (VSSE). VSSE consists of basic simulation using SL Bots (computer controlled SL agents) and protocols to allow avatars to participate in the simulation. Thus making it a participatory MSN simulation environment. We present the design of our state-driven model, a prototype implementation based on the daily mobility patterns and compare our system with a similar real-world experiment. To the best of our knowledge this is the first time that a participatory MSN simulations environment has been proposed, which allows anyone, including non-experts, to experiment and experience the technology. Moreover, this approach allows to validate protocols by providing a close to real life simulation environment for researchers.