Abstract: The sensor nodes in Wireless Sensor Networks (WSNs) are densely structured that are responsible for sensing the environmental condition and sending the information to the sink node. With the sensor nodes distributed in sparse geographical areas, the sink node collects the packets from different sensor nodes. Hybrid Medium Access Control (HMAC) protocol guaranteed fair transmission over the packets but the collision occurred when the packet was transferred to the sink node in the sensor network. Machine-Learning-based Adaptive Routing (QELAR) protocol achieved extensive network lifetime by reducing the energy consumption rate. But, QELAR did not work well with the MAC layer for effective packet retransmission. In order to avoid such limitations in WSNs, researcheritative Synchronized Converge-Cast (ASC) protocol is proposed in this study. ASC protocol integrated with the MAC layer for providing effective channel accessing of packet rebroadcasting. The main goal of ASC protocol is to avoid the occurrence of packet collision when multiple sensor nodes simultaneously transmit over the same channel in a large sensor network. ASC protocol is used Circular Coordination (CC) strategy in a sensor network that adjusts the packet transmission time with the help of quadratic principle. The quadratic principle visualizes the solution in ASC protocol by avoiding the packet collision during the rebroadcasting of the information. With the support of converge-casting on MAC layer with quadratic principle in ASC protocol, the packet collision is reduced in the sensor network which results in increased network lifetime. Experimental evaluation of ASC protocol is done with the performance metrics such as packet collision rate, packet transmission time, bandwidth rate throughput level and execution time. Simulation result shows that the integrated ASC protocol with MAC layer is much more efficient in robustness by minimizing the packet collisions and can also achieve better performance in terms of packet-transmission time, bandwidth rate and throughput level as compared to state-of-the-art methods.