. Localization is the process of estimate the position of targets indoors or outdoors, in indoor scenarios, there are challenges to using the Global Positioning System (GPS). Indoor positioning systems are therefore carried out on the basis of Time of Arrival (ToA) and Receive Signal Strength (RSS). The key issues that led to elevated errors are the Non-Line of Site (NLoS) and multipath. To avoid the mentioned challenges the researchers suggest the NLoS identification and non-leaner equations. In this paper, a new approach is based on dynamic mechanisms to choose specific values of path loss exponent (γ) and Gaussian variable (Xσ) to match the specific environment that straight each transmitter and receiver individually based on ToA and RSS proposed to mitigate NLoS and regressive signals. To simulate the case study area, the Wireless Insite Software (WIS) was used, in such a proposal, 30 Receivers (RXs), and 3 Transmitters (TXs) deployed in suitable locations. After measuring the RSS and ToA and save them into the database then, by using MATLAB software, the distances between TXs and RXs are calculated. The results show the effectiveness of the dynamic mechanism by improving the system accuracy by decreasing the average error to (0.33) m based on RSS. In terms of ToA, the average errors were (0.251) m in the distance above (25) m. The ToA with the proposed technique is slightly outperformed RSS in distances above (25) m and specific in the LoS scenario.