private void changeClusterPosition()
{
List <CellGroup> clusterList = PublicParameters.networkCells;
double avg = CellGroup.getAverageSensors();
for (int x = 0; x < clusterList.Count(); x++)
{
CellGroup oldCluster = PublicParameters.networkCells[x];
Point oldClusterLocation = oldCluster.clusterLocMargin;
int oldNodesCount = oldCluster.clusterNodes.Count;
if (oldNodesCount < avg)
{
//Consider changing the cluster
//Construct 8 clusters and compare between each of them
//Construct the 8 clusters by adding them to a temporary list in ReCheck
for (int i = 1; i <= 8; i++)
{
CellGroup tempCluster = new CellGroup(oldClusterLocation, oldCluster.getID());
//Console.WriteLine("Old Position X: {0} Y: {1}", tempCluster.clusterPoint.X, tempCluster.clusterPoint.Y);
tempCluster.incDecPos(i, (0.334));
// Console.WriteLine("New Position X: {0} Y: {1}", tempCluster.clusterPoint.X, tempCluster.clusterPoint.Y);
tempCluster.findNearestSensorRecheck(false);
}
CellGroup maxCluster = new CellGroup();
maxCluster = maxCluster.getMaxSensors();
maxCluster.findNearestSensorRecheck(true);
}
}
}
private static void getAfterAverage()
{
double avg = Math.Abs(CellGroup.getAverageSensors());
avg -= 2;
double i = 0;
double y = 0;
foreach (CellGroup cell in PublicParameters.networkCells)
{
double count = cell.clusterNodes.Count;
if (count > avg)
{
i += count;
y++;
}
}
AfterSmallAverage = Convert.ToInt32(i / y);
//AfterSmallAverage = Math.Abs(i);
}