Monitor the network tools is show a in Fig. 8, Find and examine devices using scanning and device discovery tools Identify joined devices and the network structure, represented using a variety of views. Automatically obtain device type and device state information such as association permit. Discover networks, either passively without interfering with network operation, or actively to determine the structure of live operating networks after network formation. In Fig. 8, load an image, such as a floor plan, and then drag-and-drop devices to view the network as it is physically laid out. Understand network behavior in a physical context, and redesign network layout to improve performance. Most previous work on sensor placement deals with the coverage issue by regular placement or deployment to better estimate unknown fields Variance-based approaches are used to estimate the field better by adopting an adaptive and incremental scheme to find the next placement locations of high variance (or entropy). In this case, the variance is computed based on the measurements by the currently placed sensors. Unlike previous research on sensor placement, in our application, the user knows what the resultant light field should be like. Thus, our system suggests sensor placement to verify the intended light field is appropriately created. We combine the two typical approaches: the regularity-based technique and the variance-based technique [19]