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
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