[1]谢双双,管有庆.基于动态分簇路由的网内数据聚集[J].计算机技术与发展,2018,28(01):100-104.[doi:10.3969/ j. issn.1673-629X.2018.01.021]
　XIE Shuang-shuang,GUAN You-qing.In-network Data Aggregation Based on Dynamic Clustering Routing[J].Computer Technology and Development,2018,28(01):100-104.[doi:10.3969/ j. issn.1673-629X.2018.01.021]
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基于动态分簇路由的网内数据聚集()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年01期
页码:
100-104
栏目:
智能、算法、系统工程
出版日期:
2018-01-10

文章信息/Info

Title:
In-network Data Aggregation Based on Dynamic Clustering Routing
文章编号:
1673-629X(2018)01-0100-04
作者:
谢双双; 管有庆
南京邮电大学 物联网学院,江苏 南京 210003
Author(s):
XIE Shuang-shuang; GUAN You-qing
School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
关键词:
无线传感器网络; 簇头; 聚集距离; 最短路径树; 网内数据聚集
Keywords:
wireless sensor networks; cluster-head; aggregation distance; shortest path tree; in-network data aggregation
分类号:
TP31
DOI:
10.3969/ j. issn.1673-629X.2018.01.021
文献标志码:
A
摘要:
数据聚集是无线传感器网络中的基本操作,聚集感测到的数据并发送到 Sink 节点。 传感器网络存在能量约束,网内数据聚集技术可以减少传输的数据量,有效地节省能量。 然而大部分的网内数据聚集都采用先发性(proactive)的路由协议,不能根据事件动态建立数据聚集结构。 为解决这个问题,提出一种基于动态分簇路由的网内数据聚集算法(In-net-work Data Aggregation based on Dynamic-Clustering Routing,IDADCR)。 该算法考虑节点与 Sink 节点距离、节点密度和节点剩余能量三个因素,进行簇头选择,实现簇内数据聚集。 引入聚集距离的概念,提出了改进的最短路径树,实现簇间数据聚集。 实验结果表明,该算法在动态网络环境中有效地降低了数据传输量,实现了网内数据聚集。
Abstract:
Data aggregation is a basic operation in wireless sensor network that the data aggregated is sent to the Sink node. There are energy constraints in sensor networks,and in-network data aggregation techniques can reduce the amount of data transferred and save energy effectively. However,most of the intra-network data aggregation use the pro-active routing protocol,which cannot dynamically build the data aggregation structure based on event. To solve this problem,a data aggregation method based on dynamic-clustering routing,IDADCR,is proposed. Taking into account the distance between node and Sink node,node density and residual energy,it chooses the cluster-head and achieves intra-cluster data aggregation. To achieve inter-cluster data aggregation,an improved shortest path tree is proposed by introducing the concept of aggregation distance. Experiment shows that the method can effectively reduce the amount of data
transmission and achieve in-network data aggregation in dynamic environment.

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更新日期/Last Update: 2018-03-13