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针对用电信息采集系统簇头采集器缓存占用率过高且易造成网络拥塞的问题,提出一种节点优先级自适应的PA-MAC(priority adaptive MAC)协议,根据缓存占用率动态调整节点优先级,增强缓存占用率高的节点的信道竞争力,增加节点的数据发送量,使得缓存占用率维持在较理想的水平;然后采用分布式算法,利用节点发送数据包的传输情况评估网络负载状态,结合缓存占用率及当前竞争窗口取值范围,调整竞争窗口的变化,降低数据包的碰撞概率。仿真结果表明,本算法有效缓解了采集器节点的缓存压力,提高了用电信息采集系统本地网络在归一化吞吐量、丢包率及有效传输数据量等方面的性能。
Aiming at the problem that the cache occupancy rate is too high and the congestion in the network is easily caused by the cluster header acquisition system, a priority adaptive MAC (PA-MAC) protocol is proposed to dynamically adjust the node priority according to the buffer occupancy And enhances the channel competitiveness of nodes with high cache occupancy rates and increases the amount of data sent by nodes so that the cache occupancy rate is maintained at an ideal level. Then, a distributed algorithm is used to evaluate the network load status by using the transmission status of data packets sent by the nodes , Combined with the buffer occupancy rate and the current competitive window value range, adjust the changes in the competition window to reduce the probability of packet collision. The simulation results show that this algorithm can effectively alleviate the buffer pressure of the collector nodes and improve the performance of the local network of the electricity collection system in terms of normalized throughput, packet loss rate and effective transmission data.