The Wireless Network Identify of Human Positioning Accuracy and Mobile Tracking System
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Publication date: 2019-11-25
Eurasian J Anal Chem 2018;13(3):em2018164
Location based Services provided in Mobile by using mobile sensor called GPS (Global positioning system).It has enabled a number of geographical applications over many years. However, still suffer from considerable positioning errors of GPS (usually 1 to 20 m in practice). In this project, we design and implement to identify high-accuracy global positioning using Wireless network and sensors in our mobile device. Our key observation is that reckoning supports accurate but local coordinates of users orbits, while GPS provides global but inconsistent coordinates. Existing approaches such as GPS and Wi-Fi triangulation are insufficient to meet the requirements of accuracy and flexibility. Here the project implements to find the exact location of the individuals within a certain distance, unlike triangulation which seeks to precisely define position. In contrast, Bluetooth, which is commonly available on most smart phones, provides a compelling alternative for GPS estimation. This demonstrate through experimental studies the efficiency of Bluetooth for this exact purpose. We propose a propinquity inference model to determine the distance based on the RSSI (Received Signal Strength Indication) values of Bluetooth and light sensor data in different environments. This project present several real world scenarios and explore Bluetooth propinquity inference on Android with respect to accuracy and power consumption. In this project is going to propose the real time identification of individual using location sensor and Bluetooth and also shows the current mobile status is visible to another device based on wireless networks. This can implement real time environment when we go out with group and find individual in certain distance and also for other purposes.