Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Journal Article
Publisher : International Journal of Network Protocols and Algorithms
Source : International Journal of Network Protocols and Algorithms, Aug 2014
Campus : Amritapuri
School : School of Computing
Verified : Yes
Year : 2014
Abstract : Ubiquitous data flow through a directed complex network requires the complete structural controllability of the network. For evaluating the structural controllability of any network, determination of maximum matching in the network is a cardinal task and has always been a problem of immense concern. Its solution is mandatory in structural control theory for controlling real world complex networks. The existing classical approach through the Hopcroft-Karp algorithm and other proposed algorithms require the determination of the bipartite equivalent graph (i.e., network), which belongs to the NP-complete class of problems. In this article, we propose a degree-first greedy search algorithm to determine maximum matching in unipartite graphs without determining its bipartite equivalent. Thus this classical problem of the NP-Complete class can be solved using the heuristic, with reduced complexity. This algorithm can be efficiently used to find maximum matching in most of the real world complex networks that follow Erdős-Rényi model. Simulation results obtained using our heuristic reveal that dense and homogenous networks can be controlled with fewer controller nodes popularly termed as driver nodes, compared to the sparse inhomogeneous networks.
Cite this Research Publication : A. Chatterjee, D. Das, N. Bhowmick, A. Mukherjee, M. K. Naskar, "A Degree-first Greedy Search Algorithm for the Evaluation of Structural Controllability of Real World Directed Complex Networks", International Journal of Network Protocols and Algorithms, Aug 2014