CREWLINKS: a convergence, robustness efficient model towards water leak isolation using network of sensors

In water distribution networks (WDN), rerouting is the process of rerouting water flow along different pathways in response to variations in demand, to manage emergencies such as leaks, and to enhance overall performance. This is accomplished by regulating the flow through pumps and valves. Finding the most effective route through pipes and valves to improve resilience, lower water loss, and guarantee a consistent supply is made possible in large part by topology optimisation. This work optimises a genetic algorithm (GA) and uses a convergence-efficient architecture to increase the robustness of IoT-based smart city WDNs. According to simulations, the method decreases resilience loss to only 7.5% as network density increases, and it beats regular GA by 21%.