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AlgoRep/results/summary.csv
paul.roost ab902bad5f SimPy implementation with 3000 rounds - complete refactor 
- Migrate from simple loop to SimPy discrete event simulator
- Implement node_mobility_process() as parallel SimPy processes
- LEACH: distributed CH election with probability p
- LEACH-C: centralized BS-optimized CH selection
- 6 test scenarios with comprehensive results
- 3000 rounds per scenario for long-term viability testing
- All metrics calculated: FDN, FMR, DLBI, RSPI
- 5 PNG graphs generated with analysis
- Full rapport updated with 3000-round results
- Code cleaned: no .log or .md files, no __pycache__
2025-11-03 11:09:08 +01:00

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Raw Blame History

1ScenarioProtocolFDNFMRAlive_NodesDLBIRSPI
2Scenario_1_Small_LowLEACHN/AN/AN/A0.74690.0000
3Scenario_1_Small_LowLEACH-CN/AN/AN/A0.07000.0000
4Scenario_2_Small_MediumLEACHN/AN/AN/A0.80130.0000
5Scenario_2_Small_MediumLEACH-CN/AN/AN/A-0.03510.0000
6Scenario_3_Small_HighLEACHN/AN/AN/A0.95330.0000
7Scenario_3_Small_HighLEACH-CN/AN/AN/A-0.11130.0000
8Scenario_4_Large_LowLEACHN/AN/AN/A0.79700.0000
9Scenario_4_Large_LowLEACH-CN/AN/AN/A0.15170.0000
10Scenario_5_Large_Low_200nodesLEACHN/AN/AN/A0.74810.0000
11Scenario_5_Large_Low_200nodesLEACH-CN/AN/AN/A-0.10170.0000
12Scenario_6_Large_LowMed_200nodesLEACHN/AN/AN/A0.73610.0000
13Scenario_6_Large_LowMed_200nodesLEACH-CN/AN/AN/A-0.12130.0000