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Di-GAFR: Directed Greedy Adaptive Face-Based Routing

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Autonomic and Trusted Computing (ATC 2008)

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Abstract

In this paper, we present Di-GAFR, a novel WSN geometric routing algorithm containing greedy, face and directed routing. In Di-GAFR, forwarding decisions merely depend on information about a node’s immediate neighbors in the network topology, which made the algorithm absolutely local and highly scalable. Additionally, we have proved that Di-GAFR was asymptotically optimal. Simulations demonstrate that Di-GAFR sufficiently outperforms other prominent algorithms, such as GPSR and GOAFR, in the “critical” region.

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Chunming Rong Martin Gilje Jaatun Frode Eika Sandnes Laurence T. Yang Jianhua Ma

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© 2008 Springer-Verlag Berlin Heidelberg

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Yang, T., Huang, Y., Chen, J., Yang, G., Rong, C. (2008). Di-GAFR: Directed Greedy Adaptive Face-Based Routing. In: Rong, C., Jaatun, M.G., Sandnes, F.E., Yang, L.T., Ma, J. (eds) Autonomic and Trusted Computing. ATC 2008. Lecture Notes in Computer Science, vol 5060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69295-9_44

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  • DOI: https://doi.org/10.1007/978-3-540-69295-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69294-2

  • Online ISBN: 978-3-540-69295-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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