For time-driven data collection methods, a new optimal cluster head selection(OCHS) algorithm is proposed based on the principle of fuzzy logic, considering different data collection period and different initial energy for different nodes in heterogeneous Wireless Sensor Networks. In the choice of cluster head node, OCHS algorithm uses a competitive approach to select the optimal cluster heads considering the factor that nodes have different data collection period, different initial energy and distribution density. By adopting the method of the Pythagorean theorem, the member node selects a path with minimal energy consumption to join the cluster. Simulations were conducted using MATLAB software and the results show that OCHS algorithm can effectively balance the network nodes energy consumption, prolong the lifetime of the sensor network and improve the stability of the entire network.