面试题答案
一键面试#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdbool.h>
#define MAX_NODES 1000
#define MESSAGE_SIZE 100
// 假设简单网络通信库函数
void send_message(int to_id, char* message);
int receive_message(char* buffer, int buffer_size);
// 自定义队列结构
typedef struct {
int data[MAX_NODES];
int front;
int rear;
} Queue;
void initQueue(Queue* q) {
q->front = 0;
q->rear = 0;
}
bool isQueueEmpty(Queue* q) {
return q->front == q->rear;
}
void enqueue(Queue* q, int value) {
q->data[q->rear++] = value;
}
int dequeue(Queue* q) {
return q->data[q->front++];
}
// 记录节点到起始节点的跳数
int hopCount[MAX_NODES];
// 标记节点是否已访问
bool visited[MAX_NODES];
void distributedBFS(int my_id) {
Queue q;
initQueue(&q);
memset(hopCount, -1, sizeof(hopCount));
memset(visited, false, sizeof(visited));
hopCount[my_id] = 0;
visited[my_id] = true;
enqueue(&q, my_id);
char message[MESSAGE_SIZE];
sprintf(message, "%d", 0);
while (!isQueueEmpty(&q)) {
int current_id = dequeue(&q);
int current_hop = hopCount[current_id];
// 发送消息给相邻节点
// 这里假设存在获取相邻节点ID列表的函数getNeighbors,需要根据实际图结构实现
int neighbors[MAX_NODES];
int neighborCount = getNeighbors(current_id, neighbors);
for (int i = 0; i < neighborCount; i++) {
int neighbor_id = neighbors[i];
if (!visited[neighbor_id]) {
sprintf(message, "%d", current_hop + 1);
send_message(neighbor_id, message);
}
}
// 接收消息
char buffer[MESSAGE_SIZE];
int sender_id = receive_message(buffer, MESSAGE_SIZE);
while (sender_id != -1) {
int new_hop = atoi(buffer);
if (!visited[sender_id] || new_hop < hopCount[sender_id]) {
hopCount[sender_id] = new_hop;
visited[sender_id] = true;
enqueue(&q, sender_id);
}
sender_id = receive_message(buffer, MESSAGE_SIZE);
}
// 处理节点故障和消息丢失的重试机制
// 例如,对于未响应的相邻节点,重新发送消息
for (int i = 0; i < neighborCount; i++) {
int neighbor_id = neighbors[i];
if (!visited[neighbor_id]) {
// 这里可以设置重试次数和时间间隔
int retryCount = 3;
while (retryCount > 0) {
sprintf(message, "%d", current_hop + 1);
send_message(neighbor_id, message);
// 等待一段时间,假设存在sleep函数
sleep(1);
char responseBuffer[MESSAGE_SIZE];
int responseSender_id = receive_message(responseBuffer, MESSAGE_SIZE);
if (responseSender_id == neighbor_id) {
int new_hop = atoi(responseBuffer);
if (!visited[neighbor_id] || new_hop < hopCount[neighbor_id]) {
hopCount[neighbor_id] = new_hop;
visited[neighbor_id] = true;
enqueue(&q, neighbor_id);
}
break;
}
retryCount--;
}
}
}
}
}
假设的getNeighbors
函数用于获取当前节点的相邻节点ID列表,需要根据实际的图结构实现。同时,这里简单添加了重试机制来处理节点故障和消息丢失情况。实际应用中可能需要更复杂的机制,例如超时处理、心跳检测等。sleep
函数用于模拟等待,需要根据实际环境包含相应的头文件。另外,假设的网络通信库函数send_message
和receive_message
需要根据实际的库进行正确实现和调整。