Abstract—When communicating within wireless sensor networks (WSNs), energy consideration is essential. Beamforming is therefore crucial to enabling effective, power-efficient transmission with improved signal-to-noise ratio (SNR). This paper presents the characterization and analysis of hybrid beamforming, which further minimizes the energy required in the systems that are used. The number of nodes, number of symbols, and distance from transmitting antennas were all addressed by the analysis, simulation, and modeling. Furthermore, modeling and simulation are compared to the Gaussian interpolation function. An adaptive approach to antenna positioning and mobile nodes is provided by Gaussian interpolation. The system performance is measured by the mean signal-to-noise ratio (SNR), which is a function of the number of WSN nodes and transmitted signals. The SNR curve is logarithmic. The nodes and symbols variables have increasing and decreasing functions, respectively, as a function of mean SNR, according to the mean SNR curves. With displaced signal characteristics, symmetrical and bidirectional performance, and a slight overlaid edge over the conventional hybrid beamforming model—the average mean SNR for the Gaussian model is 4.1, while for the conventional model it is 4—using the Gaussian model proved to be equivalent. This kind of architecture permits the incorporation of bidirectional nodes positioned all around a base station (BS) and permits the consideration of mobile nodes.