基于动态可调簇的无线传感网络能量感知数据存取算法

针对无线传感网中数据收集、存储和查询的需要,提出了一种基于动态可调簇的能量感知数据存取算法ACEDBA(Adjusted Cluster-based energy-aware Data Brokerage Algorithm).该算法将网络节点分成许多簇结构,簇内节点负责数据采集,簇首节点负责簇内数据的收集、汇聚和转发,数据可以集中存储,也可以分布存储在各簇首节点或本地存储.算法引入能量分级消耗机制,可动态选择和调整簇首节点,保证各簇首节点簇内数据存储和簇间数据转发查询的能量平衡.实验结果表明,与典型数据存取算法相比,该算法的节点能耗均衡、生命周期和查询成功率方面具有优势.

An adjusted cluster based energy-aware data brokerage algorithm for WSN

This paper presents an adjusted cluster based energy-aware data brokerage algorithm for data collecting, storage, and query needed in wireless sensor network, called ACEDBA. ACEDBA divides nodes into many clusters. The nodes in the cluster collect data, and the cluster heads gather aggregate, forward data in the clusters. Data can be stored centrally in the sink, or be stored in the cluster heads, or locally in the nodes. The algorithm introduces the energy hierarchical consumption mechanism, and can dynamically select and adjust the cluster heads. It can ensure the energy balance between the data storage and the inter-cluster data forwarding query. Simulation results reveal that, compared with typical data brokerage algorithms, ACEDBA has advantages in the total energy consumption, the lifetime of WSN, and query success rate.