On Data Cleaning with Intelligent Agents to Improve the Accuracy of Wi-Fi Positioning System using GIS

Wi-Fi positioning system uses GIS to achieve higher accuracy by means of comparing the error distance. The objective of this study was to minimize the distance error generated during the process of positioning. Wi-Fi positioning system needs to have a proper placement of those access points which are free from error distance. Data cleaning is introduced in this study to clean the errors that are generated from the experimental results. Agent is an Intelligent Processing system that is situated in the environment and performs autonomous action in order to meet the design objectives. Agents are introduced in this system uses its intelligence in the data cleaning task by using its dynamic and flexible characteristics. This study aimed at describing the functionalities of such a data cleaning procedure along with the agent and improves the performance of Wi-Fi positioning system.