节点信息重要程度耦合能耗联合判断机制的WSN关键点裁决算法

摘要

针对现有的无线传感网络的关键点裁决过程中指标判定单一,判断过程复杂,难以改善区域内数据传输和汇聚性能的不足,提出节点信息重要程度耦合能耗联合判断机制的WSN关键点裁决算法.利用无线传感节点之间的层次关系,通过节点信息重要程度实现对节点与邻居节点的信息交互,获取该节点信息对整个网络关键程度的估计计算,并得到数字特征值;随后根据当前节点的能耗水平及节点与下层节点之间的关联,设计了能耗联合判断机制,结合数字特征值及节点发送数据的能耗增加量,最终获取关键点裁决因子,通过排序实现了传感网内关键点的准确判断.仿真实验表明,与当前WSN关键点裁决算法相比,该算法挖掘了更多的裁决关键点数量,降低了对网络运行的性能影响,其网络拥塞发生时间更低,网络数据汇聚带宽总利用率与稳定运行时间更高.%Since the key point decision of the available wireless sensor network (WSN) has unified decision indicator and complex decision process,and it is difficult to improve the insufficient of data transmission and convergence performance in the region,a new WSN key point decision algorithm based on node information important degree and energy consumption joint judg-ment mechanism is proposed. The hierarchical relationship among the wireless sensor nodes and node information important de-gree are used to realize the information interaction of current node and neighbor node. The node information is acquired to esti-mate and calculate the criticality of the whole network,and obtain the numerical character value. According to the energy con-sumption level of current node and correlation between current node and underlayer node,the energy consumption joint judg-ment mechanism was designed. In combination with the energy consumption increment of node sending data and numerical charac-ter value,the key point decision factor is acquired. The sensor network key point is judged accurately with sorting. The results of simulation experiment show that,in comparison with the available WSN key point decision algorithm,the proposed algorithm mined more key point quantity for decision,reduced the performance influence on network operation and network congestion oc-currence time,and improved the whole bandwidth utilization of network data aggregation and stable running time.