In various domains, to enable reaction and detection of anomalies IoT (Internet of Things) have infrastructure in which significant sensory data gathering method is important because IoT nodes has limited computational capacity and energy. Range rather than sensory data accurate value which is fascinating to domain applications, range is expressed as sensory data category. Redundancy of data is discouraged by the routing algorithm and current data transfer, which decreases energy, bandwidth and memory usage. Between energy consumption and security level, there is tradeoff. Security level is nothing but it is intensive computational operations. For Secure transmission of data and to minimize consumption of energy in IoT-WSN networks, this paper proposes Spanning Tree Based Flooding Mechanism with Cooperative Game Theory (STBFM-CGT) method for efficient data transmission. To minimize consumption of energy in IoT-WSN networks, this paper proposes Spanning Tree Based Flooding Mechanism with Cooperative Game Theory (STBFM-CGT) method for efficient data transmission. For synchronization purpose, sensory data of IoT is routed and predicted through data prediction model in cloud. When compared with state-of-art method by considering packet delivery ratio (PDR), network lifetime, throughput and energy consumption, this method achieves better results. As a result, proposed method achieves 23.8% energy consumption, 53.2% network lifetime, 75.4% of PDR and 76.6% of throughput.