The Manet Is Described As a Wireless Dynamic Topology Network. It Doesn't Have a Centralized
Unit to Control the Other Nodes and Nodes Are Configured Within the Network.The Trust Route Is Very
Challenging Issues In the Network. the Available Routes Are Not Sure to Complete This Data Transmission
Task Perfectly Due to the Dynamic Topology and Less Centralized Configuration. This Reduces Network
Performance Such As Packet Drop or Incomplete Data Transmission. In This Paper, the Enhanced Route
Optimization Techniques Are Introduced With the Support of the Bat Algorithm (Eroiba) In Manet. This
Technique Creates the Trust and Best Route from Source to Destination. In Fact, Trust and the Best Routes
Are Selected By the Node Iteration Condition and the Average Total Energy Level of the Nodes Between The
Sources to Destination. the Iteration of the Sender Node Is a Detail of the Previous Performance Ratio Of
The Adjacent Node Evaluated By the Source Node. the Eroibais Simulated In Ns-2 Tools And
Observesthisoutcome Such As Packet Delivery Ratio, End-To-End Delay and Throughput. the Result of The
Eroiba Is Improved Over Existing Work.