Final Year Project progress

Tracking Indoor Symbolic Location Using IEEE 802.11 Signals in Location-Aware Computing, it is a topic that me and my partner have choosen to work on for our final year project.

Our supervisor, who is specialized in this area (pervasive and ubiquitous computing) has guided us to select this topic and giving a tremendous inspiration to us about its future development.

So, back to the project topic, what does this project is all about? Basically, we will going to conduct a study and develop a system which will determine user location based on Wi-Fi signals.

Several access points on a corridor with different points will generate a unique signals. Thus, from this uniqueness, the user location can be determine. Based on the diagram above, we can see that there are 3 access points on a corridor, and 4 points of location where the user might be standing. So, for every point 1, 2, 3, and 4, the signal strength of 3 access points will be different. Below can represent a mock data;

Point 1

• Signal strength AP1: -20
• Signal strength AP2: -65
• Signal strength AP3: -83

Point 2

• Signal strength AP1: -45
• Signal strength AP2: -32
• Signal strength AP3: -69

Point 3

• Signal strength AP1: -89
• Signal strength AP2: -57
• Signal strength AP3: -36

Point 4

• Signal strength AP1: -93
• Signal strength AP2: -67
• Signal strength AP3: -21

Basically, we need to develop an application to scan the signal strength of all existing access points on the corridor and make it as training data-set and also an application to validate the data-set collected.

But, before that, we might need to do something with our first project report since the due date has reached its end :\ . Be back soon with other progress