基于超图的热计量表物联网分簇算法  

Heat Meter Iot Clustering Algorithm Based on Hypergraph

作　　者：陈云云[1] 

机构地区：[1]山西警官高等专科学校,山西太原030000

出　　处：《无线互联科技》2016年第4期45-46,64,共3页Wireless Internet Technology

摘　　要：为了提高热表物联网中热表数据传送的准确性和及时性,文章把超图理论引入热表物联网中,提出了一种基于超图的热表物联网分簇算法,此算法是把物联网采集数据的这种网络拓扑结构看成是一个超图模型,在超图模型划分的簇域中举出一个簇头,它作为本地基站将簇内节点传给它进行数据融合后再传给基站,提高数据传输的成功率,降低了节点消耗的能量,延长了网络寿命。最后通过仿真,将基于超图的热表物联网分簇算法与传统经典的LEACH算法进行比较,实验结果表明该算法能够有效地提高数据传输成功率,并减少节点能量消耗。In order to improve the table in the Internet of things hot table data transfer accuracy and timeliness of the hypergraph theory into hot table in the Internet of things, and put forward a kind of heat meter based on hypergraph iot clustering algorithm, this algorithm is to put the Internet of things in the large-scale, strongly connected to collect the data of the wireless sensor network topology for the hypergraph model, each main super edge is a cluster, within each cluster elects a cluster head, cluster heads as a local base station within the cluster nodes to it again after data fusion to the base station, reduce the consumption of the node energy, prolong the network life. To provide efficient network services. Finally through the simulation, heat meter based on hypergraph iot clustering algorithm is compared with the traditional classic LEACH algorithm, experimental results show that the algorithm can effectively improve the success rate of data transmission, and effectively reduce the node energy consumption and prolong the network life cycle.

关 键 词：超图 热量表 物联网 分簇算法 

分 类 号：TH81[机械工程—仪器科学与技术] TP391.44[机械工程—精密仪器及机械] TN929.5[自动化与计算机技术—计算机应用技术]