Computer Networks Sample Assignment Part 1

Computer Network Course Help

How it will work,

• Start with the random environment.
  • For this you will use coordinates to keep track of CPEs, they can be static
  • You will need these coordinates to calculate the distance of the PUs
• A lot of users will connect to the nodes I (based on only distance)
• This will happen because they will all sit very close to the node and first connection is based strictly on distance from the node
• Once this is done, we can show how our paper will do it, you don't have to implement this, we will use their results from the paper.
• Now we start with SELA
• You will go through and look at the table of each CPE (node)
• Each CPE will have the criteria mentioned in page two of the scan
• You will already have calculated the distance of each PU to each node.
• Ignore all idle (inactive nodes)
• If the distance is greater than 100m, we consider that as idle for that PU
• You will then calculate how many PUs are connected to a node (CPE)
• For each PU connected to a node, subtract 1 from the count
• Then calculate how much power each CPE has (assign each one 100)
• 1 unit of power can support one PU
• You will then calculate the SINR (this is simply based on total bandwidth/# PUs) for each CPE
• Now, for the probabilities
• If the CPE is idle you give it a 0 (impossible to connect - flag set)
• If the CPE is too far > 100 you give it a 0 (impossible to connect - flag set)
• If the CPE doesn't have enough power you give it a 0 (impossible to connect - flag set)
• I have written out the rest of the probabilities in sheet 2 and 3
• Now, take all the probabilities and add them together based on weightings for each node for each PU (summation formula – very simple)
• Now, when you add these, they will give you a number that will be your estimator (vector)
• Select the CPE with the highest estimator and that is the one you will connect the PU to
• After you connect the PUs you update your information
• Set the current vector as the old vector
• Now calculate a new vector as you did before and start all over