Low cost Received Signal Strength estimator for localization in wireless networks

The low cost Received Signal Strength (RSS) estimator is an immense cost reducing factor for distance estimation in outdoor environments. There is a significant layoff in the time factor, hardware setup and accuracy with determined cutoff value. The predication of RSS estimates leads as an important pre-processing factor in localization task. The data are manipulated and organized in a dense network to show the robustness of the proposed method. In wireless environments, the data are collected using arduino boards and processing is carried on using Raspberry pi units. The accuracy is determined in terms of strict manipulation of signal to noise ratios. The coordinator and the end devices are assumed as partially configured sensor nodes. It increases the success rates and eliminates the noise errors. It leads to erroneous calculation of distance estimates. In order to overcome these variations between the received signal strength and distance estimates, the work presented in this paper incorporates pre-processing steps for manipulating RSS.