基于动态可调簇的无线传感网络能量感知数据存取算法  

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

作　　者：郭稳涛[1] 郑剑[1,2] 李兵[1,2] 何怡刚[3] GUO Wen-Tao;ZHENG Jian;LI Bing;HE Yi-Gang(Hunan Mechanical ＆ Electrical Polytechnic, Changsha 410151;School of Electrical and Information Engineering, Hunan University, Changsha 410082, China;School of Electrical Engineering and Automation, Hefei University of Technology, Hefel 230099, China)

机构地区：[1]湖南机电职业技术学院,长沙410151 [2]湖南大学电气与信息工程学院,长沙410082 [3]合肥工业大学电气与自动化工程学院,合肥230009

出　　处：《四川大学学报（自然科学版）》2018年第3期513-519,共7页Journal of Sichuan University(Natural Science Edition)

基　　金：国家杰出青年科学基金(50925727);国防科技计划项目(C1120110004,9140A27020211DZ5102);教育部科学技术研究重大项目(313018);湖南省自然科学基金(2017JJ5028)

摘　　要：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.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 and 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 mecha- nism, and can select and adjust the cluster heads dynamically. 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.

关 键 词：能量感知 数据存取 动态可调簇 无线传感网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]