基于能耗均衡的无线传感网络自适应数据存取算法

提出了一种能耗均衡的自适应数据存储算法, 将数据尽量存储在适合查询的位置. 首先建立基于网格的网络模型, 然后分析采集节点与初始存储节点、查询节点之间的位置关系, 存储模式可在集中存储和分布存储之间切换. 算法引入了虚拟扩展网格和能量分级消耗的机制, 可有效均衡网络能耗. 实验结果表明, 该算法的节点能耗、生命周期和丢包率相比于GHT算法有一定的改善.

Adaptive Data Brokerage Method Based on Energy-Balanced for Wireless Sensor Networks

In order to store data in the most suitable location, an adaptive data brokerage method is proposed in wireless sensor networks. First, a grid-based network model is established, and the relationship of location between acquiring node, sink and initial storage node is analyzed, the storage method can switch between the local storage and data-centric storage. The method is based on virtual extended grid and it can balance the total energy consumption. Compared with geographic Hash table (GHT), the simulation results show that the method can obtain better performance in terms of total energy consumption and network lifetime and packet loss rate.