Dynamic networks are prevalent everywhere right from Internet, Local Area Networks, Mobile Ad hoc networks to Wireless Sensor Networks. Communication networks, social networks, Web, transportation networks infrastructures represent dynamic networks due to the dynamics that influence its topologies, connectivity, reliability and fault-tolerance. The network dynamics is rigorously influenced by the input parameters like data, communication, computational overloads, data traffic, data congestion, inclusion and exclusion of data resources over time. Hence, to identify optimal paths in such dynamic networks where communication nodes come and go, network communication edges may crash and recover, is a non-trivial problem. In this paper we present a rigorous study on various shortest path finding algorithms in dynamic networks. Although the research on this problem spans over more than thirty years, in the last couple of years many novel algorithmic techniques have been proposed. An arduous effort is made to abstract some combinatorial and algebraic properties. Also, common data-structural tools that are at the base of those techniques are described and compared.

**Published In** **:** IJCSN Journal Volume 2, Issue 6

**Date of Publication : **01 December 2013

Pages : 184 - 195

**Figures :** 07

**Tables : **04

**Publication Link :** ijcsn.org/IJCSN-2013/2-6/IJCSN-2013-2-6-161.pdf

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