In routing protocols, sensor nodes tend to route events (images) captured to a particular destination (sink) using the most efficient path. The power and bandwidth required to transmit video data from hundreds of cameras to a central location for processing at a high success rate would be enormous. In this work, captured packets were routed from different sensors placed at different locations to the sink using the best path. Since the captured images (packets) need to be routed to the destination (sink) at regular interval and within a predefined period of time, while consuming low energy without performance degradation, Ant based routing which utilizes the behavior of real ants searching for food through pheromone deposition, while dealing with problems that need to find paths to goals, through the simulating behavior of ant colony is adopted. In this end, we present an Improved Energy-Efficient Ant- Based Routing (IEEABR) Algorithm in Visual Sensor Networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy- Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation. The performance evaluations for the algorithms on a real application are conducted in a well known WSNs MATLAB-based simulator (RMASE) using both static and dynamic scenario.