事件驱动的无线传感器网络需要对事件状态做出合理的判断以进行处理,本文研究如何选取少量节点参与通信,以较低的能耗代价获取事件状态。文中提出的NSS(Node Supported Selection)算法,首先利用节点之间的空间相关性将事件感知空间划分为若干相关单元,再依据节点支持度选取代表节点参与数据传输。仿真结果表明,该算法只需小比例的节点数就能保证感知精度,且具有较好的可扩展性,能满足多样的应用需求。
Event-driven wireless sensor networks need to make reasonable judgments for event states. In this paper, we study how to select a small number of active nodes so as to reduce energy consumption and acquire event states with minor cost. The proposed NSS (Node Supported Selection) algorithm exploits the spatial correlation in nodes and makes use of node supported degree to select representative nodes involved in data transmissions. Simulation results show that this algorithm can keep data accuracy with a small ratio of nodes. Besides, the performance of NSS is better than other algorithms, especially, it has good scalability.