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In order to solve message transmission and optimize the performance of wireless networked control systems (WINCS) based on multi-hop wireless sensor network, an optimal scheduling algorithm is studied here. The message optimization scheduling scheme aims to minimize sampling period of control loops in WINCS, and optimize the overall performance of the control systems. The message optimization scheduling in multiple control loops with sequence constraints, deadline constraints and network resource constraints is NP-complete problem, the genetic algorithm (GA) is used to determine control message path and optimize message scheduling schemes, to solve the resource confliction among different control loops and execution order restriction. A case study illustrates the proposed message optimization scheduling scheme.