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DataExporter.java
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import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
/**
* This class handles exporting simulation results to CSV files
* for later analysis in Excel.
*/
public class DataExporter {
// Represents a single run of the algorithm
public static class SimulationResult {
private String networkName;
private int dataPackets;
private double distanceTraveled;
private long computationalTime;
private double batteryLevel;
public SimulationResult(String networkName, int dataPackets, double distanceTraveled,
long computationalTime, double batteryLevel) {
this.networkName = networkName;
this.dataPackets = dataPackets;
this.distanceTraveled = distanceTraveled;
this.computationalTime = computationalTime;
this.batteryLevel = batteryLevel;
}
public String getNetworkName() { return networkName; }
public int getDataPackets() { return dataPackets; }
public double getDistanceTraveled() { return distanceTraveled; }
public long getComputationalTime() { return computationalTime; }
public double getBatteryLevel() { return batteryLevel; }
}
// Groups simulation results by battery level
public static class BatteryGroup {
private double batteryLevel;
private List<SimulationResult> results;
private double avgDataPackets;
private double avgDistance;
private double avgCompTime;
private double stdDevDataPackets;
private double stdDevDistance;
private double confidenceDataPackets;
private double confidenceDistance;
private double percentChangeDataPackets;
private double percentChangeDistance;
private double percentChangeCompTime;
public BatteryGroup(double batteryLevel) {
this.batteryLevel = batteryLevel;
this.results = new ArrayList<>();
}
public void addResult(SimulationResult result) {
results.add(result);
}
public void calculateStatistics() {
// Calculate averages
avgDataPackets = results.stream().mapToInt(SimulationResult::getDataPackets).average().orElse(0);
avgDistance = results.stream().mapToDouble(SimulationResult::getDistanceTraveled).average().orElse(0);
avgCompTime = results.stream().mapToLong(SimulationResult::getComputationalTime).average().orElse(0);
// Calculate standard deviations
stdDevDataPackets = calculateStdDev(results.stream().mapToDouble(r -> r.getDataPackets()).toArray(), avgDataPackets);
stdDevDistance = calculateStdDev(results.stream().mapToDouble(SimulationResult::getDistanceTraveled).toArray(), avgDistance);
// Calculate 95% confidence interval (using t-distribution with n-1 degrees of freedom)
// For simplicity, using 1.96 for large sample, adjust for small samples
double tValue = 1.96; // For large samples
int n = results.size();
if (n > 1) {
confidenceDataPackets = tValue * (stdDevDataPackets / Math.sqrt(n));
confidenceDistance = tValue * (stdDevDistance / Math.sqrt(n));
}
}
private double calculateStdDev(double[] values, double mean) {
double sum = 0;
for (double value : values) {
sum += Math.pow(value - mean, 2);
}
return Math.sqrt(sum / Math.max(1, values.length - 1));
}
public void setPercentChanges(double prevDataPackets, double prevDistance, double prevCompTime) {
if (prevDataPackets > 0) {
percentChangeDataPackets = ((avgDataPackets - prevDataPackets) / prevDataPackets) * 100;
}
if (prevDistance > 0) {
percentChangeDistance = ((avgDistance - prevDistance) / prevDistance) * 100;
}
if (prevCompTime > 0) {
percentChangeCompTime = ((avgCompTime - prevCompTime) / prevCompTime) * 100;
}
}
public double getBatteryLevel() { return batteryLevel; }
public List<SimulationResult> getResults() { return results; }
public double getAvgDataPackets() { return avgDataPackets; }
public double getAvgDistance() { return avgDistance; }
public double getAvgCompTime() { return avgCompTime; }
public double getStdDevDataPackets() { return stdDevDataPackets; }
public double getStdDevDistance() { return stdDevDistance; }
public double getConfidenceDataPackets() { return confidenceDataPackets; }
public double getConfidenceDistance() { return confidenceDistance; }
public double getPercentChangeDataPackets() { return percentChangeDataPackets; }
public double getPercentChangeDistance() { return percentChangeDistance; }
public double getPercentChangeCompTime() { return percentChangeCompTime; }
}
private List<BatteryGroup> batteryGroups;
public DataExporter() {
batteryGroups = new ArrayList<>();
}
public void addResult(SimulationResult result) {
// Find or create the appropriate battery group
BatteryGroup group = batteryGroups.stream()
.filter(g -> g.getBatteryLevel() == result.getBatteryLevel())
.findFirst()
.orElse(null);
if (group == null) {
group = new BatteryGroup(result.getBatteryLevel());
batteryGroups.add(group);
}
group.addResult(result);
}
public void calculateAllStatistics() {
// Sort battery groups by battery level
batteryGroups.sort((g1, g2) -> Double.compare(g1.getBatteryLevel(), g2.getBatteryLevel()));
// Calculate statistics for each group
BatteryGroup prevGroup = null;
for (BatteryGroup group : batteryGroups) {
group.calculateStatistics();
if (prevGroup != null) {
group.setPercentChanges(
prevGroup.getAvgDataPackets(),
prevGroup.getAvgDistance(),
prevGroup.getAvgCompTime()
);
}
prevGroup = group;
}
}
public void exportToCSV(String filename) throws IOException {
try (FileWriter writer = new FileWriter(filename)) {
// Write headers
writer.write("PCA Algorithm,Data Packets,Distance Traveled,Computational Time\n");
// Process each battery group
for (BatteryGroup group : batteryGroups) {
// Write battery level header
writer.write(String.format("%.0fWh\n", group.getBatteryLevel()));
// Write individual network results
for (int i = 0; i < group.getResults().size(); i++) {
SimulationResult result = group.getResults().get(i);
writer.write(String.format("Network %d,%d,%.2f,%d\n",
i + 1,
result.getDataPackets(),
result.getDistanceTraveled(),
result.getComputationalTime()
));
}
// Write statistics
writer.write(String.format("Stan Dev,%.8f,%.8f\n",
group.getStdDevDataPackets(),
group.getStdDevDistance()
));
writer.write(String.format("Confidence,%.8f,%.8f\n",
group.getConfidenceDataPackets(),
group.getConfidenceDistance()
));
writer.write(String.format("Average,%.2f,%.2f,%d\n",
group.getAvgDataPackets(),
group.getAvgDistance(),
(long)group.getAvgCompTime()
));
writer.write(String.format("Pecent Change,%.8f,%.8f,%.8f\n\n",
group.getPercentChangeDataPackets(),
group.getPercentChangeDistance(),
group.getPercentChangeCompTime()
));
}
}
}
}