摘要
无线传感器网络作为物联网(Internet of Things,IOT)收集信息的重要一环,分为异构和同构网络,本文研究的主要是能量异构网络(Energy Heterogeneous Wireless Sensor Networks,EHWSN)。DEEC算法(Distribute Energy-Efficient Clustering Algorithm)是应用于能量异构网络的基本算法,由于无线传感器网络受硬件限制,能量是非常有限的。因此,尽可能延长网络的生命周期,降低能量消耗是分簇算法的首要功能。提出了一种改进的DEEC算法—DEEC-BD(Distribute Energy-Efficient Clustering Algorithm based on distance),其核心思想是引入距离因子改进概率Pi,并在数据传输阶段使用多跳的方式,通过对路径质量参数的大小的比较来选择下一跳,达到降低能耗的目的。仿真结果表明,DEEC-BD与DEEC、CREEP相比,生命周期分别提高了79%、37.5%,数据传输量分别提高了450%、41.5%,网络能耗分别降低了52%、16.7%。
As an important part of information collection in internet of things(Internet of Things,IOT),wireless sensor networks are divided into heterogeneous and homogeneous networks.This paper mainly studies energy heterogeneous networks(Energy Heterogeneous Wireless Sensor Networks,EHWSN).DEEC algorithm applied to heterogeneous energy network.Due to the energy limitation of wireless sensor networks,prolonging the network lifetime as much as possible and reducing energy consumption are the primary functions of clustering algorithm.In this paper an improved DEEC algorithm—DEEC-BD is proposed.Its core idea is to improve the probability Pi by introducing distance factor and use multi-top method in the data transmission stage to select the next hop through path quality paraments to achieve the purpose of reducing energy consumption.Simulation results show that compared with DEEC CREEP,the lifetime of DEEC-BD is increased by 79%37.5%,the data transmission capacity is increased by 450%41.5%,and the network energy consumption is reduced by 52%16.7%.
作者
张铭悦
陈桂芬
王鹤霏
ZHANG Ming-yue;CHEN Gui-fen;WANG He-fei(School of Electronics and Information Engineering,Changchun University of Science and Technology,Changchun 130022)
出处
《长春理工大学学报（自然科学版）》
2021年第1期64-70,共7页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
吉林省科技厅项目(20190302103GX)。
