考虑均衡负载的电力线通信组网蚁群算法

Ant Colony Algorithm for Power Line Communication Network Considering Balanced Load

应用传统算法的电力线通信组网存在负载不均衡的问题,阻碍了组网的应用与发展,因此提出了考虑均衡负载的电力线通信组网蚁群算法。建立蚁群择优模型描述转移概率和信息素更新规则,选取影响算法搜索能力、收敛速度以及解集大小的性能参数,运用算法平衡组网负载。实验结果显示,设计算法对比两种传统算法,具有节点使用率更高、组网剩余能量更多以及组网整体丢包率降低的特点,实现了电力线通信组网的负载均衡。

The power line communication network using traditional algorithms has the problem of unbalanced load,which hinders the application and development of the network.Therefore,the ant colony algorithm for power line communication network considering the balanced load is proposed.Establish an ant colony optimization model to describe the transition probability and pheromone update rules,select the performance parameters that affect the algorithm's search ability,convergence speed and solution set size,and use the algorithm to balance the network load.The experimental results show that the design algorithm compares the two traditional algorithms with higher node utilization,more residual energy in the network,and lower overall packet loss rate in the network,achieving load balancing of the power line communication network.