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A number of IP routing protocols have been successfully designed that support fast convergence and the ability to compute paths that meet specific QoS requirements in networks with hundreds or even thousands of nodes.
The role of a QoS routing strategy is to compute paths that are suitable for different types of traffics generated by various applications while maximizing the utilizations of network resources.
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In this algorithm we use LR-Servers theory to compute path delay.
We also propose a Dijkstra-like algorithm to compute path-label transitive closure by re-defining the "distance" of a path.
In contrast, the Dual Dijkstra's Search computes paths that span the entire graph at a computational cost that is independent of the number of paths generated.
The computed paths yield levels of QuoL higher than the year 2000 level for all generations.
This algorithm computes paths of expected length Θ log2n/k) between any pair of nodes.
The computed paths satisfy the non-holonomic constraints, avoid collisions, and minimize the task-completion time.
Analytical results on computing paths of bounded weakness are derived and game-theoretic heuristics for finding approximately optimal paths are presented.
But Altshuler has reservations about the accuracy of the computed paths because there is a dearth of positional data to confirm the whales' course.
But because the network topology in a CRN varies over time due to the dynamic nature of PU activities, many existing routing algorithms are rendered inapplicable as their computed paths usually do not adapt to the network dynamism.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com