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ContactSim: An Efficient Realistic Trace Driven Contact Simulator for Vehicular Opportunistic Networks

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Internet and Distributed Computing Systems (IDCS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8223))

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Abstract

Opportunistic networking is an innovative data delivery solution, which leverages the contact opportunities between mobile terminals to exchange messages. The contact events are highly relevant to human behaviours. And thus the contact simulation driven by the realistic mobility trace plays an important role in the research field of opportunistic networking. Making contact simulation based on a large scale of sampled traces has two drawbacks should be taken into account: (1) the simulation output is as good as input, which means the discrete records lead to limited simulation accurate; (2) simulation that scans all the input data simultaneously with time sequence leads to heavy computing cost. In this paper, we proposal an efficient trace driven simulation framework named ContactSim for vehicular opportunistic network. The framework has the functionalities of geographical interpolation to reduce the negative impact of discrete trace records on simulation results. And it uses an asynchronous simulation method to extract contact data from input data, which can not only cut down simulation time, but also relieve memory overhead. The main objective of ContactSim is to provide an efficient platform to assist researchers in validating new concepts and implementations towords vehicular opportunistic networks.

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Jia, J., Ming, X., Yingwen, C., Chengqian, W., Xiaoqiang, X., Geming, X. (2013). ContactSim: An Efficient Realistic Trace Driven Contact Simulator for Vehicular Opportunistic Networks. In: Pathan, M., Wei, G., Fortino, G. (eds) Internet and Distributed Computing Systems. IDCS 2013. Lecture Notes in Computer Science, vol 8223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41428-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-41428-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41427-5

  • Online ISBN: 978-3-642-41428-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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