WSNs data acquisition and routing algorithm driven by abnormal data

SHEN Li; YI Xiaomei; CHEN Xinyao

doi:10.13873/J.1000-9787(2020)04-0140-04

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WSNs data acquisition and routing algorithm driven by abnormal data

更新时间：2025-09-11

- WSNs data acquisition and routing algorithm driven by abnormal data
- Issue 4, Pages: 140-143+147(2020)
- 作者机构：
  
  1. 浙江农林大学信息工程学院
  2. 浙江省林业智能监测与信息技术研究重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2020)04-0140-04
  CLC： TN929.5;TP212.9
- Published：2020
- 稿件说明：
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SHEN Li, YI Xiaomei, CHEN Xinyao. WSNs data acquisition and routing algorithm driven by abnormal data[J]. 2020, (4): 140-143+147.
DOI：

SHEN Li, YI Xiaomei, CHEN Xinyao. WSNs data acquisition and routing algorithm driven by abnormal data[J]. 2020, (4): 140-143+147. DOI： 10.13873/J.1000-9787(2020)04-0140-04.

摘要

针对无线传感器网络(WSNs)能耗的限制

基于异常数据驱动的WSNs数据采集与路由算法。利用区域生长法将数据采集区域划分为若干子区域

划分后每块子区域采集的数据相似度较高;采用Kmeans聚类算法将传感器节点进行分簇

簇头负责数据的采集融合与发送

设计能耗均衡的路由算法完成数据的传输。仿真实验表明:提出的数据采集与路由算法能节约大量的能量

延长网络的生存时间。

Abstract

Aiming at limitation of energy consumption of wireless sensor networks（ WSNs）

data acquisition and routing algorithms with low energy consumption is studied. A WSNs data acquisition and routing algorithm driven by abnormal data is proposed. Firstly

the region growth method is used to divide the data acquisition area into several subregions

and the data similarity is higher in each sub region after division. Then K-means clustering algorithm is used to cluster the sensor nodes

the cluster head is responsible for data collection

fusion and transmission. Finally

a routing algorithm with balanced energy consumption is designed to complete the data transmission. The simulation results show that the proposed data acquisition and routing algorithm can save a lot of energy and prolong the lifetime of the network.

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