This paper introduces a multi-cluster multi-channel scheduling (MMS) algorithm aimed at enhancing data collection and minimizing delays in wireless sensor networks (WSNs) by utilizing an improved fuzzy logic-based cluster head selection approach. The proposed approach addresses interference and packet collisions in multi-channel communication through effective channel assignment and switching strategies. Results demonstrate that the MMS algorithm not only optimizes for energy consumption and network longevity but also ensures interference-free transmission.