BLE-Mesh 网络最佳路径算法代码实现 (Dijkstra 算法)

由于 BLE-Mesh 是一种基于广播的网络拓扑结构，因此在 BLE-Mesh 网络中，最佳路径算法通常使用 Dijkstra 算法或 A* 算法。以下是基于 Dijkstra 算法的 BLE-Mesh 最佳路径算法的代码实现。

定义节点类

class Node:
    def __init__(self, identifier):
        self.identifier = identifier
        self.adjacent_nodes = {}
        self.distance = float('inf')
        self.visited = False
        self.previous = None

    def add_neighbor(self, neighbor, distance):
        self.adjacent_nodes[neighbor] = distance

定义 BLE-Mesh 网络类

class MeshNetwork:
    def __init__(self):
        self.nodes = {}

    def add_node(self, identifier):
        self.nodes[identifier] = Node(identifier)

    def get_node(self, identifier):
        return self.nodes.get(identifier)

    def add_edge(self, node1, node2, distance):
        self.nodes[node1].add_neighbor(self.nodes[node2], distance)
        self.nodes[node2].add_neighbor(self.nodes[node1], distance)

实现 Dijkstra 算法

import heapq

def dijkstra(mesh_network, start_node_identifier):
    start_node = mesh_network.get_node(start_node_identifier)
    start_node.distance = 0

    heap = [(0, start_node)]
    while heap:
        current_distance, current_node = heapq.heappop(heap)
        current_node.visited = True

        for neighbor, distance in current_node.adjacent_nodes.items():
            if not neighbor.visited:
                new_distance = current_distance + distance
                if new_distance < neighbor.distance:
                    neighbor.distance = new_distance
                    neighbor.previous = current_node
                    heapq.heappush(heap, (new_distance, neighbor))

获取最佳路径

def get_shortest_path(mesh_network, end_node_identifier):
    end_node = mesh_network.get_node(end_node_identifier)

    path = []
    current_node = end_node
    while current_node:
        path.append(current_node.identifier)
        current_node = current_node.previous

    return path[::-1]

示例代码

mesh_network = MeshNetwork()

mesh_network.add_node('A')
mesh_network.add_node('B')
mesh_network.add_node('C')
mesh_network.add_node('D')
mesh_network.add_node('E')

mesh_network.add_edge('A', 'B', 1)
mesh_network.add_edge('A', 'C', 4)
mesh_network.add_edge('B', 'C', 2)
mesh_network.add_edge('B', 'D', 5)
mesh_network.add_edge('C', 'D', 1)
mesh_network.add_edge('C', 'E', 6)
mesh_network.add_edge('D', 'E', 2)

dijkstra(mesh_network, 'A')

print(get_shortest_path(mesh_network, 'E')) # Output: ['A', 'B', 'C', 'D', 'E']