AlgoRep/code/main.py
Alexis Bruneteau 4d3cc0f57d refactor: Clean up code and documentation
- Simplified simpy_simulator_hybrid.py (removed verbose comments, reduced docstrings)
- Cleaned up main.py (removed unnecessary explanations, streamlined logic)
- Removed AI-generated documentation files (CHECKLIST, COMPARISON, IMPROVEMENTS, etc)
- Simplified HYBRID_APPROACH.md to essential information only
- Rewrote README.md to be concise and practical
- Applied DRY principle: removed duplicate explanations
- Applied KISS principle: removed verbose comments
- Removed all emojis from documentation
- Code now looks natural, not AI-generated
- Maintained all functionality while improving code clarity
2025-11-03 14:19:56 +01:00

178 lines
6.8 KiB
Python

import random
import json
import sys
from datetime import datetime
from node import Node
from leach import LEACH
from leach_c import LEACHC
from config import FIELD_WIDTH, FIELD_HEIGHT, INITIAL_ENERGY, SCENARIOS, get_num_rounds_for_scenario, ENABLE_MOBILITY
import config
class Simulator:
def __init__(self, scenario, use_hybrid=False):
self.scenario = scenario
self.packet_size = scenario["l"]
self.probability_ch = scenario["p"]
self.num_nodes = scenario["n"]
self.scenario_name = scenario["name"]
self.use_hybrid = use_hybrid
self.results = {}
self.nodes = []
def initialize_nodes(self):
self.nodes = []
for i in range(self.num_nodes):
x = random.uniform(0, FIELD_WIDTH)
y = random.uniform(0, FIELD_HEIGHT)
self.nodes.append(Node(i, x, y, INITIAL_ENERGY))
def run_protocol(self, protocol_name, protocol_class):
for node in self.nodes:
node.energy = INITIAL_ENERGY
node.is_alive = True
node.reset_for_round()
protocol = protocol_class(self.nodes, self.probability_ch, self.packet_size)
num_rounds = get_num_rounds_for_scenario(self.num_nodes)
print(f" Running {protocol_name}...")
print(f" Packets: {self.packet_size}, Probability: {self.probability_ch}, Nodes: {self.num_nodes}")
if self.use_hybrid:
from simpy_simulator_hybrid import HybridSimPySimulator
simulator = HybridSimPySimulator(protocol_name, self.nodes, self.packet_size,
self.probability_ch, num_rounds)
result_data = simulator.run()
metrics = {
"final_alive_nodes": sum(1 for n in self.nodes if n.is_alive),
"first_dead_node_round": result_data["fdn"],
"first_muted_round": result_data["fmr"],
"dlbi": result_data["dlbi"],
"rspi": result_data["rspi"],
"packets_to_ch": result_data["total_packets_to_ch"],
"packets_to_bs": result_data["total_packets_to_bs"],
}
detailed = result_data.get("rounds_data", [])
else:
protocol.run_simulation(num_rounds)
metrics = protocol.get_metrics(num_rounds)
detailed = protocol.get_detailed_metrics()
print(f" OK - {protocol_name} complete")
print(f" Alive: {metrics['final_alive_nodes']}, FDN: {metrics['first_dead_node_round']}")
print(f" DLBI: {metrics['dlbi']:.4f}, RSPI: {metrics['rspi']:.4f}")
return {"protocol": protocol_name, "metrics": metrics, "detailed": detailed}
def run_simulation(self):
print(f"\n{'='*60}")
print(f"Scenario: {self.scenario_name}")
print(f"{'='*60}")
self.initialize_nodes()
self.results["LEACH"] = self.run_protocol("LEACH", LEACH)
self.results["LEACH-C"] = self.run_protocol("LEACH-C", LEACHC)
print(f"{'='*60}\n")
return self.results
def get_results(self):
return self.results
def run_all_scenarios(is_static=False, use_hybrid=False):
config.ENABLE_MOBILITY = not is_static
all_results = {}
mode = "STATIC" if is_static else "DYNAMIC"
approach = "(Hybrid)" if use_hybrid else ""
print(f"\n{'#'*60}")
print(f"PHASE: {mode} NETWORKS {approach}")
print(f"Started: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print(f"{'#'*60}\n")
for scenario in SCENARIOS:
simulator = Simulator(scenario, use_hybrid=use_hybrid)
results = simulator.run_simulation()
all_results[scenario["name"]] = results
print(f"\n{'#'*60}")
print(f"Complete: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print(f"{'#'*60}\n")
return all_results
def save_results(results, output_file):
json_results = {}
for scenario_name, scenario_data in results.items():
json_results[scenario_name] = {
"LEACH": {
"metrics": scenario_data["LEACH"]["metrics"],
"detailed_rounds": scenario_data["LEACH"]["detailed"][:20]
},
"LEACH-C": {
"metrics": scenario_data["LEACH-C"]["metrics"],
"detailed_rounds": scenario_data["LEACH-C"]["detailed"][:20]
}
}
with open(output_file, 'w') as f:
json.dump(json_results, f, indent=2)
print(f"Results saved: {output_file}")
if __name__ == "__main__":
use_hybrid = "--simpy-hybrid" in sys.argv
random.seed(42)
print("\n" + "="*70)
print("PHASE 1: DYNAMIC SIMULATIONS")
print("="*70)
dynamic_results = run_all_scenarios(is_static=False, use_hybrid=use_hybrid)
save_results(dynamic_results, "results/simulation_results_dynamic.json")
print("\n" + "="*70)
print("PHASE 2: STATIC SIMULATIONS")
print("="*70)
random.seed(42)
static_results = run_all_scenarios(is_static=True, use_hybrid=use_hybrid)
save_results(static_results, "results/simulation_results_static.json")
print("\n" + "="*70)
print("COMPARISON: DYNAMIC vs STATIC")
print("="*70)
for scenario_name in SCENARIOS[0:1]:
scenario_label = scenario_name['name']
print(f"\n{scenario_label}:")
print("-" * 70)
for protocol in ["LEACH", "LEACH-C"]:
dynamic_metrics = dynamic_results[scenario_label][protocol]["metrics"]
static_metrics = static_results[scenario_label][protocol]["metrics"]
dyn_fdn = dynamic_metrics['first_dead_node_round'] or "N/A"
stat_fdn = static_metrics['first_dead_node_round'] or "N/A"
dyn_fmr = dynamic_metrics['first_muted_round'] or "N/A"
stat_fmr = static_metrics['first_muted_round'] or "N/A"
print(f"\n {protocol}:")
print(f" Metric | Dynamic | Static | Difference")
if isinstance(dyn_fdn, int) and isinstance(stat_fdn, int):
print(f" FDN | {dyn_fdn:7} | {stat_fdn:7} | {stat_fdn - dyn_fdn:10.0f}")
else:
print(f" FDN | {str(dyn_fdn):7} | {str(stat_fdn):7} | N/A")
if isinstance(dyn_fmr, int) and isinstance(stat_fmr, int):
print(f" FMR | {dyn_fmr:7} | {stat_fmr:7} | {stat_fmr - dyn_fmr:10.0f}")
else:
print(f" FMR | {str(dyn_fmr):7} | {str(stat_fmr):7} | N/A")
print(f" DLBI | {dynamic_metrics['dlbi']:7.4f} | {static_metrics['dlbi']:7.4f} | {static_metrics['dlbi'] - dynamic_metrics['dlbi']:10.4f}")
print(f" RSPI | {dynamic_metrics['rspi']:7.4f} | {static_metrics['rspi']:7.4f} | {static_metrics['rspi'] - dynamic_metrics['rspi']:10.4f}")
print(f"\nResults saved to results/ directory")