基于动态半径的事件驱动型无线传感器网络分簇融合算法

事件驱动型无线传感器网络应用于突发事件监测,针对传统网络未考虑事件分布情况及成簇大小等问题,提出一种新的基于动态半径的分簇融合算法。综合考虑事件发生的严重程度及节点性能等因素确定簇头,并采用分级发射功率,根据成簇效果及网络平均能耗优化选择簇半径,实现在触发节点范围内的动态分簇,有效节约能耗、提高数据融合效率。仿真实验结果表明,与TEEN相比,该算法可显著延长无线传感器网络生命期。

Event-driven clustering aggregation algorithm based on dynamic cluster range for wireless sensor networks

Event-driven wireless sensor networks are used in monitoring emergency events. For the distribution of the incident and the range of the cluster was not taken into account, a new Event-Driven Clustering Aggregation algorithm based on dynamic cluster range is proposed. The algorithm selects cluster head according to the severiW of the incident and the character of each node. It optimizes the cluster range based on hierarchical power levels according to the average energy consumption. It improves the effect of data aggregation and effectively reduces energy consumption. In comparison with TEEN, the simulation results show that the EDCA algorithm can considerably prolong the lifetime of the network.