To solve issues in mobile wireless sensor network (M-WSN) topology control, such as severe node constraints, low network survival, and poor link stability under mobility, this paper proposes a topology control algorithm based on a disability measurement and evaluation mechanism. First, combining energy constraints and bandwidth, a failure index is designed to quantitatively evaluate node constraint. A disability measurement method based on a joint two-dimensional modeling evaluation mechanism is constructed, assessing data transmission quality by introducing a distance factor. According to the failure index-failure probability mapping, a reliability-based prediction mechanism is designed. By introducing a time-periodic variable, it is proven a maximum upper bound for node failure probability exists, enabling rapid prediction. Combining disability measurement and prediction, a topology stability control method is constructed based on the disability-reliability prediction interaction. This method jointly utilizes bandwidth and energy factors to optimize the node disability state, achieving stable topological control. Simulation experiments show that compared with the commonly used hierarchical topology control algorithm (NREL-CHB) and the distributed energy-balanced topology control algorithm (EB-NGTC), the proposed algorithm exhibits a lower degree of node constraint, higher link stability, and a lower average single-node jitter frequency, demonstrating superior topology control.