Wireless sensor network (WSN) nodes strategically collect environmental changes. Each node has less processing, memory, and energy. The transceiver lets nodes transmit and receive packets. WSN nodes provide data to a central processing unit. Wireless Sensor Networks need power, storage, communication, and processing. The sensor computing capabilities decline. These networks' nodes can send data to the base node for processing across multiple hops. WSNs may be setup without humans. The limits slow Wireless Sensor Network performance. Extension of node operation requires energy-saving methods. This technology is used in military, healthcare, environmental monitoring, and microsurgery. Wireless sensor node access to shared media is difficult to regulate. Energy savings, PDR, and latency in wireless sensor networks are improved by the MAC. Several Wireless Sensor Networks (WSN) technologies access the transmission medium and fix network issues. A wireless sensor network (WSN) has autonomous sensors across a large area. Massive sensors in Wireless Sensor Networks (WSNs) report and monitor. Expanding the network to many sensor nodes raises collision risk. A unique wireless sensor network collision detection and mitigation mechanism is presented in this paper. The Fractional Artificial Bee Colony (FABC) algorithm chooses a cluster leader following a WSN simulation. RSSI, priority level, delivery rate, and energy utilization determine the network-based statistic. The Deep Recurrent Neural Network (DRNN) has been modified to suit the task of collision detection. The training of the deep recurrent neural network (DRNN) is conducted via the Lion Crow Search optimizer (LCSO). Following the completion of collision detection, the subsequent step involves the implementation of a collision mitigation process utilizing a pre-scheduling technique known as Dolphin Ant Lion Optimizer (Dolphin ALO).

Wireless sensor network, deep recurrent neural network, collision detection, Cluster head selection, Received Signal Strength Index (RSSI), priority level, delivery rate, and energy consumption.