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Techniques for Computing Shortest Path Between Nodes

We present a fast algorithm for computing all shortest paths
between source nodes s ∈ S and target nodes t ∈ T. This
problem is important as an initial step for many operations
research problems (e.g., the vehicle routing problem), which
require the distances between S and T as input. Our
approach is based on highway hierarchies, which are also
used for the currently fastest speedup techniques for shortest
path queries in road networks. We show how to use highway
hierarchies so that for example, a 10 000 × 10 000 distance
table in the European road network can be computed in
about one minute. These results are based on a simple
basic idea, several refinements, and careful engineering of
the approach. We also explain how the approach can be
parallelized and how the computation can be restricted to
computing only the k closest connections.

Description

Calculating shortest distance in Network is one of the important network functions for QoS routing, MLPS Path selection, ATM networking and traffic networking engineering. In voice and video calling finding cheapest path is not an easy task. In order to find solution for this problem many researches and algorithms are designed. This project proposes two techniques which will reduce decentralization errors and provide shortest routing distance by developing faster algorithms. Providing shortest path is the important factor for successful design in QOS system. Simulator is used to test new techniques which show execution time efficiency in new system.