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In this paper, we propose a new algorithm based on ear decomposition for constructing reliable WMN infrastructure that resists the failure of a single mesh node and ensures full coverage to all Mesh Clients (MCs).
IEEE802.11s draft [1] divides nodes into two categories, including mesh node and non-mesh node.
A stream is defined by an exchange of data packets between a mesh node and its corresponding gateway.
This greatly simplifies the hardware design of the cognitive mesh node and also facilitates the WMN deployment over realistic scenarios.
where q is the number of neighbors of a mesh node and N is the total number of mesh nodes in the network.
Section 2 introduces concept of the Urban-X and architecture of a cognitive mesh node, and Section 3 shows reconfigurable hardware platforms for the Urban-X.
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Unknown variables are computed at the mesh nodes and the Lagrangian particles carry history variables during the deformation process.
Furthermore, the framework used in the analysis of our algorithm is the first attempt to explicitly apply the widely-used relationship between mesh nodes and matrix computations to the problem of multiple eliminations with reuse of intermediate results.
The numbers of mesh nodes and mesh segments are 100 and 180, respectively.
This task is extremely challenging given the need to coordinate multiple distributed mesh nodes and given the wide heterogeneity of underlying mesh nodes and channels.
For example, Oklahoma City provides wireless coverage for a 555-square-mile area using 1,100 mesh nodes and 900 mobile nodes.
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