• Dr.S.V.S.SANTHI
• 2Lumbini Devi. D

In the real-world scenario, infrastructure systems or networks like Water Distribution Networks (WDN) plays major role in public safety and protection of health which results in critical infrastructure protection. The drinking water supply system network comprises of nodes (junctions) and links (pipes). It is a Critical Infrastructure in the sector of water and waste water systems. Drinking water is a primary need of the public. The drinking water supply system network is a complex network system, executed and maintained by the Government organizations. The maintenance of the water supply system is very critical and complex. Hence there arises the need to protect the existing real world network to supply drinking water to the public. For the same reasons, it is essential to control the WDN using control theory. Former studies concentrated on driver nodes’ or critical nodes’ identification using maximum matching concept. The controllability of complex network is critical in numerous applications. Controlling large infrastructure networks is an exquisite challenge. Ways of controlling a small fraction of target nodes is a usual task in numerous real control scenarios. Existing works present algorithms to discover the driver nodes used to control partial nodes of the network. Here, we present a novel algorithm WDNTC (Target Control for Water Distribution Networks), to find optimum count of driver nodes for the purpose of target node control. WDNTC algorithm shows efficient results for both synthetic data and real-world WDN.

Driver nodes, Infrastructure network, Target control, Water distribution network.

"TARGET CONTROLLABILITY APPLICATIONS ON WATER DISTRIBUTION NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.e242-e247, October-2022, Available :http://www.jetir.org/papers/JETIR2210434.pdf

"TARGET CONTROLLABILITY APPLICATIONS ON WATER DISTRIBUTION NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppe242-e247, October-2022, Available at : http://www.jetir.org/papers/JETIR2210434.pdf