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x3c.py
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x3c.py
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import random
import json
class Node:
def __init__(self, name, data, power):
self.name = name
self.data = data
self.power = power
class Gateway:
def __init__(self, name, power_setup, storage_capacity):
self.name = name
self.power_setup = power_setup
self.storage_capacity = storage_capacity
class Link:
def __init__(self, node, gateway, power):
self.node = node
self.gateway = gateway
self.power = power
DEBUG = False
def exact_cover(nodes, gateways, links):
node_set = set(nodes)
gateway_set = set(gateways)
node_gateway_links = {node: set() for node in node_set}
gateway_capacity = {gateway: gateway.storage_capacity for gateway in gateway_set}
node_power_budget = {node: node.power for node in node_set}
selected_gateways = set()
selected_nodes = set()
selected_links = set()
min_power_consumption = float('inf')
optimal_gateways = None
optimal_nodes = None
optimal_links = None
last_optimal_gateways = None
last_optimal_nodes = None
last_optimal_links = None
for link in links:
node_gateway_links[link.node].add((link.gateway, link.power))
exact_solution_found = False
def dfs(node_set, selected_gateways, selected_nodes, selected_links, total_power):
nonlocal min_power_consumption, optimal_gateways, optimal_nodes, optimal_links, exact_solution_found
nonlocal last_optimal_gateways, last_optimal_nodes, last_optimal_links
if not node_set:
exact_solution_found = True
if total_power < min_power_consumption:
min_power_consumption = total_power
optimal_gateways = selected_gateways.copy()
optimal_links = selected_links.copy()
optimal_nodes = selected_nodes.copy()
return
else:
if last_optimal_gateways is None or total_power < min_power_consumption:
last_optimal_gateways = selected_gateways.copy()
last_optimal_nodes = selected_nodes.copy()
last_optimal_links = selected_links.copy()
best_node = max(node_set, key=lambda node: node.data / node_power_budget[node])
if DEBUG:
print("Current Node Set:", [node.name for node in node_set])
print("Selected Gateways:", [gateway.name for gateway in selected_gateways])
print("Selected Nodes:", [node.name for node in selected_nodes])
print("Selected Links:", [(node.name, gateway.name) for node, gateway in selected_links])
print("Total Power:", total_power)
print("------------------------")
for gateway, power in node_gateway_links[best_node]:
if power <= node_power_budget[best_node] and gateway_capacity[gateway] >= best_node.data:
node_set.remove(best_node)
selected_nodes.add(best_node)
selected_links.add((best_node, gateway))
selected_gateways.add(gateway)
node_power_budget[best_node] -= power
gateway_capacity[gateway] -= best_node.data
dfs(node_set, selected_gateways, selected_nodes, selected_links, total_power + gateway.power_setup)
node_set.add(best_node)
selected_nodes.remove(best_node)
selected_links.remove((best_node, gateway))
if gateway in selected_gateways:
selected_gateways.remove(gateway)
node_power_budget[best_node] += power
gateway_capacity[gateway] += best_node.data
dfs(node_set, selected_gateways, selected_nodes, selected_links, 0)
if optimal_gateways:
return optimal_gateways, optimal_nodes, optimal_links
else:
return last_optimal_gateways, last_optimal_nodes, last_optimal_links
# def nodes_gateways_links(num_nodes, num_gateways, node_data_lock = False, gateway_storage_lock = False):
# if node_data_lock:
# data = random.randint(1, 20)
# nodes = [Node(f'n{i}', data, random.randint(1, 20)) for i in range(1, num_nodes + 1)]
# else:
# nodes = [Node(f'n{i}', random.randint(1, 20), random.randint(1, 20)) for i in range(1, num_nodes + 1)]
# if gateway_storage_lock:
# storage_capacity = random.randint(20, 100)
# gateways = [Gateway(f'g{i}', random.randint(1, 20), storage_capacity) for i in range(1, num_gateways + 1)]
# else:
# gateways = [Gateway(f'g{i}', random.randint(1, 20), random.randint(20, 100)) for i in range(1, num_gateways + 1)]
# links = []
# for node in nodes:
# for gateway in gateways:
# # Ensure the link is feasible
# power_needed = random.randint(1, min(node.power, gateway.power_setup))
# links.append(Link(node, gateway, power_needed))
# return nodes, gateways, links
def nodes_gateways_links(num_nodes, num_gateways, node_data_lock=False, gateway_storage_lock=False):
if node_data_lock:
# Locking node data at a specific value
data = 10 # Adjust 10 as needed for the desired locked value
nodes = [Node(f'n{i}', data, random.randint(1, 20)) for i in range(1, num_nodes + 1)]
else:
# Varying node data linearly
nodes = [Node(f'n{i}', i * (10 / num_nodes), random.randint(1, 20)) for i in range(1, num_nodes + 1)]
if gateway_storage_lock:
# Locking gateway storage capacity at a specific value
storage_capacity = 100 # Adjust 100 as needed for the desired locked value
gateways = [Gateway(f'g{i}', random.randint(1, 20), storage_capacity) for i in range(1, num_gateways + 1)]
else:
# Varying gateway storage capacity linearly
gateways = [Gateway(f'g{i}', random.randint(1, 20), i * (100 / num_gateways)) for i in range(1, num_gateways + 1)]
links = []
for node in nodes:
for gateway in gateways:
power_needed = random.randint(1, min(node.power, gateway.power_setup))
links.append(Link(node, gateway, power_needed))
return nodes, gateways, links
def simulate(total_nodes, total_gateways, data_lock = False, storage_lock = False):
nodes, gateways, links = nodes_gateways_links(total_nodes, total_gateways, data_lock, storage_lock)
selected_solution = exact_cover(nodes, gateways, links)
if selected_solution is None:
print("No solution exists.")
else:
selected_gateways, selected_nodes, selected_links = selected_solution
total_power = sum(gateway.power_setup for gateway in selected_gateways)
print("------------------------------")
print("Selected Gateways:", [gateway.name for gateway in selected_gateways])
print("Total Power Consumption:", total_power)
print("Total Selected Gateways:", len(selected_gateways))
print("Total Selected Nodes:", len(selected_nodes))
print("Total Selected Links:", len(selected_links))
print("------------------------------")
if selected_solution is not None:
selected_gateways, selected_nodes, selected_links = selected_solution
total_power = sum(gateway.power_setup for gateway in selected_gateways)
return total_power
def simulate_varying_nodes(max_nodes, total_gateways, data_lock=False, storage_lock=False, filename='results/varying_nodes.json'):
results = []
for total_nodes in range(1, max_nodes + 1):
result = simulate(total_nodes, total_gateways, data_lock, storage_lock)
results.append((total_nodes, result))
with open(filename, 'w') as f:
json.dump(results, f, indent=4)
return results
def simulate_varying_gateways(total_nodes, max_gateways, data_lock=False, storage_lock=False, filename='results/varying_gateways.json'):
results = []
for total_gateways in range(1, max_gateways + 1):
result = simulate(total_nodes, total_gateways, data_lock, storage_lock)
results.append((total_gateways, result))
with open(filename, 'w') as f:
json.dump(results, f, indent=4)
return results
def main():
simulate_varying_nodes(10, 6)
simulate_varying_gateways(6, 10)
simulate_varying_nodes(10,6, True, False, 'results/varying_nodes_data_lock.json')
simulate_varying_nodes(10,6, False, True, 'results/varying_nodes_storage_lock.json')
simulate_varying_nodes(10,6, True, True, 'results/varying_nodes_data_storage_lock.json')
simulate_varying_gateways(6, 10, True, False, 'results/varying_gateways_data_lock.json')
simulate_varying_gateways(6, 10, False, True, 'results/varying_gateways_storage_lock.json')
simulate_varying_gateways(6, 10, True, True, 'results/varying_gateways_data_storage_lock.json')
if __name__ == "__main__":
main()