In WSN, DOS (Denial of service) attack makes shortcoming system. The packets travel over and over in the sensor network. By that all the assets like data transmission, memory, and vitality are squandered by this attack. However, the attacker ought to optimize its attacker plan for request to boost the impact on the system performance because of the deficiency of vitality at the aggressor side. Denial of service (DoS) attack on the Internet has become a squeezing issue. By staying away from these sorts of attacks network performance can be improved. Therefore, Security is a fundamental requirement for these networks. Hence, to overcome the issues faced by the cross layer in the presence of DOS attack in WSN. For reliable data transmission, effective routing is required. This research work mainly focuses on the performance evaluation using optimization methods. To establish the efficient path in the Cross layer against DOS attack, this paper has proposed Enhanced lion optimization with efficient path routing equalization technique (LOEPRE). If there is any failure node occurs in the network then the node is recognized and communication of data packets again transmitted in another node. Retransmission of data causes overload in the network. The proposed model focuses on these issues and overcome these issues by improving the path efficiently with robust security. It consists of three phases: In initial phase include the route discovery in the network. In second phase, enhanced lion optimization technique is used for establish a route to transfer data with high security level. Finally, efficient path routing equalization technique is used for minimize the overload in the network, it provides the equalize path length in the network and is highly efficient. Hence, the proposed LOEPRE technique is used to achieve energy efficiency in wireless network for prolong network lifetime, minimum packet latency, minimize consumption of energy. Moreover, the simulation outcome of the proposed LOEPRE method highly robust while comparing to the existing methods EFCRS, SSPRA ELOER, EFLOR and TSTP. It achieves better performance than existing algorithms in comparing metrics connectivity ratio, end to end delay, overhead, throughput and packet delivery ratio.