Cloud computing is applied in wireless sensor networks (WSNs) by dispersing large-scale computations across multiple distributed resources. Cloud computing task scheduling has been a long-standing issue in ascertaining the quality, accessibility, accuracy, and capability of WSNs. In order to achieve a well-organized solution to the bi-objective time-constrained task scheduling problem, the Nondominated Sorting Genetic Algorithm II (NSGA-II) has been developed. Additionally, The NSGA-II addresses the problem of task scheduling by experimenting. The study results demonstrate that NSGA-II can successfully achieve this study's objective.