Wireless Sensor Networks (WSNs) consist extensive number of nodes with limited battery power which used to transmit data to from cluster node to the Base Station [BS]. The existing approaches failed to solve the challenge of energy consumption during data transmission due to incorrect selection of Cluster Head (CH) and routing. To overcome this problem, a Levy Flight-Coati Optimization Algorithm (LF-COA) is proposed for Energy Efficient CH Selection and Routing (EECHSR) in WSN. Initially, the network of the model was assumed based on certain conditions. Then, in energy model of WSN, the energy consumption of data transmission between nodes and BS. After that, LF-COA approach finds an optimal CH to control cluster in WSN and reduced energy consumption for data transmission efficiently. The LF-COA achieve better results of 91 J for residual energy in 1000 rounds when compared to other existing methods like Cluster Centered CH selection Algorithm (C3HA), and Improved Butterfly Optimization Algorithm (IBOA).