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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CSV

Scenario,Protocol,FDN,FMR,Alive_Nodes,DLBI,RSPI
Scenario_1_Small_Low,LEACH,N/A,N/A,N/A,0.7469,0.0000
Scenario_1_Small_Low,LEACH-C,N/A,N/A,N/A,0.0700,0.0000
Scenario_2_Small_Medium,LEACH,N/A,N/A,N/A,0.8013,0.0000
Scenario_2_Small_Medium,LEACH-C,N/A,N/A,N/A,-0.0351,0.0000
Scenario_3_Small_High,LEACH,N/A,N/A,N/A,0.9533,0.0000
Scenario_3_Small_High,LEACH-C,N/A,N/A,N/A,-0.1113,0.0000
Scenario_4_Large_Low,LEACH,N/A,N/A,N/A,0.7970,0.0000
Scenario_4_Large_Low,LEACH-C,N/A,N/A,N/A,0.1517,0.0000
Scenario_5_Large_Low_200nodes,LEACH,N/A,N/A,N/A,0.7481,0.0000
Scenario_5_Large_Low_200nodes,LEACH-C,N/A,N/A,N/A,-0.1017,0.0000
Scenario_6_Large_LowMed_200nodes,LEACH,N/A,N/A,N/A,0.7361,0.0000
Scenario_6_Large_LowMed_200nodes,LEACH-C,N/A,N/A,N/A,-0.1213,0.0000