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Multiple Gateways Deployment Based on Connecting-Probability for Wireless Mesh Networks

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Frontiers in Computer Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 133))

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Abstract

In wireless mesh networks, frequent link failures may divide the network into many disconnected parts, and severely affect network performance. We studied the method for multiple gateways deployment based on connecting probability optimization to deal with this problem. Firstly, we developed a model for calculating the probability of network segmentation by edge cut sets. Secondly, we designed an algorithm for network partition, so that each subnet was built with stable links, while links between subnets were those prone to fail. Thirdly, we designed a reliability model for time-effective communication and developed an algorithm to select multiple gateway nodes with the highest connecting probability. By simulation in NS-2, we made performance comparison among Qos-based methods and ours. Our method excelled at metrics such as packet delivery ratio and transfer delay. The simulation results indicate the effectiveness and superiority of our method.

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Correspondence to Wen-xiang Li .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Li, Wx., Kuang, Hl., Xiong, Qg. (2012). Multiple Gateways Deployment Based on Connecting-Probability for Wireless Mesh Networks. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_54

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  • DOI: https://doi.org/10.1007/978-3-642-27552-4_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27551-7

  • Online ISBN: 978-3-642-27552-4

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