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The baseline is a centralized Link-Based Graph Coloring (LBGC) algorithm which seeks to maximize the overall link rates without routing knowledge.
Although this type solutions could solve disjoint multi-path routing problem in CR networks in some respects, priori routing knowledge is necessary, which would cost exponential level time complexity for processing.
The kind of routing knowledge once accessible only through luck and privilege is today searchable.
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Furthermore, in the offline (the topology and all demands are known) model, the objective is usually to utilize the networks in the most efficient way by minimizing the resource usage for the demand that are being routed with knowledge of the demand matrix.
The communication-aware route selection incorporates the routing decisions with knowledge of communication links including noise, path loss, multipath fading, and interference.
Creating of the architecture and our routing protocol require knowledge of location.
The prerequisite of position-based routing is the knowledge of the position of the forwarder, its neighbors, and the destination.
However, choosing the k factor during real-time routing requires the knowledge of n and then to determine a subset k from n.
To reduce the flow re-routing overhead, we perform load-balanced routing using the traffic knowledge by carefully taking flow statistics collection.
Second category of protocols belonging to position-based routing relies on the knowledge of geographical position of the nodes instead of network addresses [3].
In this paper, we present bandwidth delay constrained routing algorithms that use knowledge of the ingress egress node pairs in the network in reducing the rejection rates for setting up new paths.
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