This paper presents an analysis of international trade transportation costs using multi-sensor assisted wireless network virtualization technology. The objective is to optimize overall trade expenses and support national economic growth. The methodology employed involved firstly analyzing the advantages and disadvantages of various transportation modes such as road, rail, shipping, waterway, and pipeline transportation. Subsequently, a system for international trade transportation cost analysis and control was designed based on multi-sensor assisted wireless network virtualization. This system was utilized to devise an international trade transportation scheme that combines the optimal transportation modes. The effectiveness of this scheme was assessed by comparing the transportation costs of single versus combined modes in practical applications. The results demonstrate that the combined transportation scheme can save 400 yuan per unit of transportation cost and generate a total income of 3,000 yuan, highlighting its significant impact on reducing international trade transportation costs and promoting international trade economic development.