The Wireless Network Identify of Human Positioning Accuracy and Mobile Tracking System

Abstract

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.