Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities

Smart cities make use of a variety smart technology to improve societies in better ways. Such intelligent technologies, on the other hand, pose significant concerns terms power usage and emission carbons. The suggested study is focused technological networks for big data-driven systems. With support software-defined transportation-aided multicast routing system suggested. By using public transportation as another communication platform city, network enhanced. primary objective little energy possible while delivering much data possible. Attribute Decision Making with Capacitated Vehicle (CV) Routing Problem (RP) Half Open Multi-Depot Heterogeneous used proposed research. For optimum selection, Multi-Attribute (MADM) method utilized. sake reducing usage, (CVRP) employed. To reduce cost risk, used. Moreover, mixed-integer programming approach deal problem. produce Pareto optimal solutions, an algorithm based epsilon constraint genetic created. A scenario Auckland Transport being validate concept offloading information onto buses energy-efficient delay-tolerant transfer. Therefore experiments have demonstrated that may be effectively carry out by customer requests 30% less than