4. Discussion

Analysis of results


Based on the results gathered, our group came to the conclusion that there are indeed certain areas in SST in which we have weak WiFi signals. These areas are often near the side facing Dover MRT station.


Key findings


  • Nearer to Dover MRT, slower, less reliable WiFi
  • Upload Speed is quite constant
  • Nearer to more populated device regions, slower WiFi
  • InfoHub has the best WiFi connection


Explanation of key findings


  • Nearer to Dover MRT, slower, less reliable WiFi
    • As these are some of the “WiFi deadzones” in the school, the WiFi reliability there tends to be unpredictable as our phones are always constantly searching for better networks; thus resulting in not being able to connect to the WiFi. It might also have been purposely left as a deadzone as there are fewer classrooms/no need to put a router specifically there. Besides, there is actually one in every classroom, so there is no apparent need to put one router to cover that extra 10 metres.
  • Upload Speed is quite constant
    • This is likely as most of the interactions with the network are mostly “download requests” and we do not really upload data as often. This is why when the entire school decides to hand up work that needs to be uploaded into Google Drive, the upload speed is horrendously slow; overloading the network
  • Nearer to more populated device regions, slower WiFi
    • As we approach and take measurements from a populated device area, we realised that the WiFi speed is considerably slower as more devices are hooked onto the network. As we conducted the measurements mostly in the morning around 0800-0900, the results and conclusions might only be true for this time period.


Evaluation of Hypothesis
Our hypothesis was proven correct as it is supported by our results as well as our findings.

Areas for improvement

There are a couple a Areas For Improvement (AFIs)

  1. Take more readings to get a more accurate result
    1. Due to many administrative procedures, we often missed the first and last 10 minutes of a lesson. As such, we only had one reading per device per location. We tried to increase the accuracy by measuring most of the readings in the morning between 0800-0900
  2. Usage of Device for measurement
    1. As we could only use a smartphone application, the results could have many uncontrollable complications. In the future, if such an experiment was to be carried out, we would have to use an industrial grade Wireless Data Transfer Speed measuring device to obtain a more accurate reading. These devices have no lag or anything effect of the data gathered; raw in, raw out.

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