Tiny units named as sensor nodes (SNs) in the wireless sensor network (WSNs) that are employed for tracking the physical activities in the routine life. These networks uses multifunctional sensor units to gather atmospheric parameters such as locations, pressure humidity sounds and temperature. Finding the location and distance of nodes are very important aspect in WSNs networks. In WSNs nodes are placed at random positions throughout the network size, as it is not a practical away to localize all nodes at the central part. When nodes are spread over a wide area and accessibility is difficult to setup, then Random deployment or random sensor allocation techniques is used. In this paper, nodes are able to communicate with each other with their positions, thus maintaining the data accuracy and improvises the network performance. For nodes to update their locations, a new Hybrid DA-FA Meta-heuristic is setup and is compared with the other exiting techniques. In this paper, location of random node is calculated by distance based technique using a single centered position anchor node. This new technique helps in improving the convergence time and also helps in increasing the network capability by employing virtual anchor nodes. This technique helps to specify the line of sight problems and also decreasing the dependency of nodes on other active network nodes.