Abstract

The networks of the present day communication systems, be it a public road transportation system or a MANET or an Adhoc Network, frequently face a lot of uncertainties in particular regarding traffic jam, flood or water logging or PWD maintenance work (in case of public road network), attack or damage from internal or external agents, sudden failure of one or few nodes. Consequently, at a real instant of time, the existing links/arcs of a given network (graph) are not always in their original/excellent condition physically or logically, rather in a weaker condition, or even sometimes disabled or blocked temporarily and waiting for maintenance/repair; and hence ultimately causing delay in communication or transportation. We do not take any special consideration if few of the links be in a better condition at the real time of communication, we consider only such cases where few links are in inferior condition (partially or fully damaged). The classical Dijkstra's algorithm to find the shortest path in graphs is applicable only if we assume that all the links of the concerned graph are available at their original (ideal) condition at that real time of communication, but at real time scenario it is not the case. Consequently, the mathematically calculated shortest path extracted by using Dijkstra's algorithm may become costlier (even in-feasible in some cases) in terms of time and/or in terms of other overhead costs; whereas some other path may be the most efficient or most optimal. Many real life situations of communication network or transportation network cannot be modeled into graphs, but can be well modeled into multigraphs because of the scope of dealing with multiple links (or arcs) connecting a pair of nodes. The classical Dijkstra's algorithm to find the shortest path in graphs is not applicable to multigraphs. In this study the authors make a refinement of the classical Dijkstra's algorithm to make it applicable to directed multigraphs having few links partially or fully damaged. We call such type of multigraphs by GRT-multigraphs and the modified algorithm is called by Dijkstra's Algorithm for GRT-Multigraphs (DA-GRTM, in short). The DA-GRTM outputs the shortest paths and the corresponding min cost in a GRT-multigraph at real time and thus the solution is a real time solution, not an absolute solution. It is claimed that DA-GRTM will play a major role in the present day communication systems which are in many cases giant networks, in particular in those networks which cannot be modeled into graphs but into multigraphs.

Highlights

  • Social Science, Statistics, Economics, Medical Science to list a few only out of many

  • It is claimed that Dijkstra’s Algorithm for GRTMultigraphs (DA-GRTM) will play a major role in the present day communication systems which are in many cases giant networks, in particular in those networks which cannot be modeled into graphs but into multigraphs

  • In this study we have introduced a new notion of Graph Theory called by “GRT-multigraphs” which is a generalization of the notion of RT-multigraphs (Biswas et al, 2013b)

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Summary

INTRODUCTION

Social Science, Statistics, Economics, Medical Science to list a few only out of many. Biswas et al (2013a) modified the classical Dijkstra’s algorithm to make it applicable to solve SPP in a multigraph and considered the real time situation of a network where few (or even nil or all) of its links are not available to the communication system for the time being due to sudden damage (under repair at this period of time). In our proposed mathematical model of GRTmultigraphs (Fig. 3), we consider further amount of ground-reality by incorporating more amount of real time information from the network regarding the actual condition of each and every ‘available’ link to make the notion of RT-multigraphs (Biswas et al, 2013b) more dynamic, more useful and more efficient to the users for making an optimal strategy for a successful communication from a source node to a destination node. V is a reachable node from u if there is at least one link having non-zero CF (Fig. 4a,b above)

Communicable Node
Periodical Update of Information
1.10. Modification of Classical Dijkstra’s Algorithm for GRT-Multigraphs
1.15. Conversion of a GRT-Multigraph into an Equivalent RT-Multigraph
CONCLUSION
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