A novel energy-efficient data gathering algorithm for wireless sensor networks
A novel energy-efficient data gathering algorithm for wireless sensor networks
复制标题
DOI：
10.1109/wcica.2010.5554253
复制
发表时间：
2010-07
期刊：
影响因子：
--
通讯作者：
Jing Yang;Ze-tao Li;Yi Lin;Wei Zhao
中科院分区：
文献类型：
--
作者：
Jing Yang;Ze-tao Li;Yi Lin;Wei Zhao
数据采集是无线传感器网络中最重要的操作之一。由于节点的功率有限，因此设计一种节能的数据采集算法是一项至关重要的任务。本文提出了一种能量高效的数据收集算法(EDGA)，该算法将网络分成簇(每个簇有一个簇头)，每个簇中的节点形成链。首先，节点根据邻居的支持度和自身的剩余能量自主决定竞争成为簇头节点。此外，簇头采用蚁群算法来调度节点(链)的访问顺序。仿真结果表明，与传统的分簇方法相比，EDGA能有效地降低网络能耗，延长网络寿命。
Data gathering is one of the most important operations in wireless sensor networks. Since the nodes operate on limited power, it is a critical task to design an energy-efficient data gathering algorithm. In this paper, we propose an energy-efficient data gathering algorithm (EDGA) in which the network is grouped into clusters (each with a clusterhead) and the nodes form chains in each cluster. Firstly, a node, according to support degree from neighbors and its remaining energy, independently makes its decision to compete for becoming a clusterhead. Furthermore, the clusterhead adapts ant colony optimization (ACO) to schedule access sequence of nodes (chain). Simulation results show that EDGA can reduce energy consumption efficiently and prolong the network lifetime when compared with the conventional clustering method.