In monitoring apps, target tracking in the wireless sensor network (WSN) is most essential. A tracking framework is used in a current job called Face Tracking. A region called the face of a polygon is being built. The nodes inside a face can only interaction between them. The brink detection algorithm is used to discover the highest coverage region for an edge where two nodes are attached. To select nodes that can monitor the destination with less energy use, an Optimal selection algorithm is used. But if the target moves out of the coverage region or the monitoring node's energy becomes small then the target may not be precisely monitored. A monitoring system, called t-Tracking, is suggested to resolve this issue to achieve tracking quality (QoT). A distributed monitoring algorithm sends energy level and coverage region queries to all nodes in the face where the goal needs to be tracked next. A node with the highest energy level and coverage region node is chosen for target monitoring based on the response from all nodes. Due to the selection of the best node, the goal can be monitored accurately.