Extending the network lifetime is a critical challenge for tunnel wireless sensor networks, and topology control plays a pivotal role in optimizing both network lifetime and overall performance. To enhance the adaptability and overall performance of tunnel wireless sensor networks (TWSNs) in three-dimensional environments, this paper proposes a TWSN clustering routing algorithm integrating thinking innovation strategy to improve multi-objective competition of tribes and cooperation of members (MOCTCM) (TIMO). First, a 3D tunnel spatial model is constructed to derive the optimal number of cluster heads, and an adaptive cluster head allocation mechanism based on competitive radius and node density is introduced to achieve rational deployment and load balancing. The cluster head election employs a TIS-enhanced MOCTCM algorithm that comprehensively considers residual energy, intra-cluster distance, and node trust. In the routing phase, the MOCTCM combined with the coefficient of variation method is used to dynamically balance total energy consumption and its variance, thus optimizing the transmission path. Simulation results demonstrate that the proposed approach effectively balances network energy consumption and significantly extends network lifetime.