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POSTER: Using Directional Antennas for Epidemic Routing in DTNs in Practice

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Distributed Computing and Networking (ICDCN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7730))

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Introduction

In this paper, we investigate the effect of using directional antennas (DA) for routing in Delay Tolerant Networks (DTNs) where agents move following some realistic mobility patterns. In particular, the performance of classical SIRS epidemic dynamics [1] for routing in DTNs using a combination of omnidirectional antennas (OAs) and DAs is investigated using the SLAW (Selfsimilar Least Action Walk) model [2] for human daily life mobility patterns. We analyze the performance by placing DAs on randomly chosen agents and orient the DAs in randomly chosen directions. The broad goal of this paper is to initiate a study of using directional antennas for routing in DTN in practice.

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References

  1. Diekmann, O., Heesterbeek, J.A.P.: Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation. Wiley (2000)

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  2. Lee, K., Hong, S., Kim, S.J., Rhee, I., Chong, S.: Slaw: A mobility model for human walks. In: Proceedings of INFOCOM, Rio de Janeiro, Brazil (April 2009)

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  3. Peruani, F., Maiti, A., Sadhu, S., Chat, H., Roy, R., Choudhury, Ganguly, N.: Modeling broadcasting using omnidirectional and directional antenna in delay tolerant networks as an epidemic dynamic. IEEE JSAC 28(4), 524–531 (2010)

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© 2013 Springer-Verlag Berlin Heidelberg

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Maiti, R.R., Ganguly, N., Gupta, A. (2013). POSTER: Using Directional Antennas for Epidemic Routing in DTNs in Practice. In: Frey, D., Raynal, M., Sarkar, S., Shyamasundar, R.K., Sinha, P. (eds) Distributed Computing and Networking. ICDCN 2013. Lecture Notes in Computer Science, vol 7730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35668-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-35668-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35667-4

  • Online ISBN: 978-3-642-35668-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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