In this era, the application of Wireless Sensor Networks (WSNs) is essential in new private/public or government sector (mainly defense sector). WSNs can be retrofitted in forests, military fields, industrial areas, or residential areas. The existing WSN of the new line has problems such as node failure and high energy consumption. Limitation, deploying a WSN everywhere requires addressing the WSN's energy issues. An energy efficiency-based clustering adaptive routing scheme (EECARS) has been suggested and developed with the intention of identifying malicious nodes on the basis of their energy consumption. This is accomplished by comparing the actual and projected amounts of energy consumption. Nodes with unusual energy are recognized as malignant hubs. EECARS anticipates the energy consumption of sensor hubs by utilising previous data and probability capabilities to forecast the energy consumption of each sensor hub. It is a method of conserving energy that will bring a reduction in the amount of energy that the company uses. Reproduction results show that EECARS further develops network lifetime, execution, and energy efficiency. The available energy capacity at the relay node, clustering and residual energy, and the distance of the relay node to the base station (BS) of the Wireless Sensor Network are all used by the multi-hop relay design. The amount of energy consumption for data transmission in Wireless Sensor Networks is provided by Wireless Sensor Networks in the form of packet transmission rate and the efficiency of node data transmission. This is accomplished in Wireless Sensor Networks. © 2023 Elsevier B.V., All rights reserved.