diff --git a/DAS/simulator.py b/DAS/simulator.py
index a8d5509..6561ea0 100644
--- a/DAS/simulator.py
+++ b/DAS/simulator.py
@@ -229,9 +229,11 @@ class Simulator:
                 })
 
             if missingSamples == oldMissingSamples:
-                self.logger.debug("The block cannot be recovered, failure rate %d!" % self.shape.failureRate, extra=self.format)
+                if len(missingVector) > self.config.steps4StopCondition:
+                    if missingSamples == missingVector[len(missingVector)-1-self.config.steps4StopCondition]:
+                        self.logger.debug("The block cannot be recovered, failure rate %d!" % self.shape.failureRate, extra=self.format)
+                        break
                 missingVector.append(missingSamples)
-                break
             elif missingSamples == 0:
                 self.logger.debug("The entire block is available at step %d, with failure rate %d !" % (steps, self.shape.failureRate), extra=self.format)
                 missingVector.append(missingSamples)
diff --git a/config_example.py b/config_example.py
index 3ff5ae8..6725280 100644
--- a/config_example.py
+++ b/config_example.py
@@ -73,6 +73,9 @@ deterministic = True
 # If your run is deterministic you can decide the random seed. This is ignore otherwise.
 randomSeed = "DAS"
 
+# Number of steps without progress to stop simulation
+steps4StopCondition = 7
+
 def nextShape():
     for run, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
         runs, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):