[1]李兰英,蒋维成,何勇,等. 分簇无线多媒体传感器网络中的能耗控制策略[J].计算机技术与发展,2017,27(07):174-179.
　LI Lan-ying,JIANG Wei-cheng,HE Yong,et al. Energy Consumption Control Strategy in Wireless Multimedia Sensor Networks with Clustering[J].,2017,27(07):174-179.
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 分簇无线多媒体传感器网络中的能耗控制策略()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年07期
页码:
174-179
栏目:
应用开发研究
出版日期:
2017-07-10

文章信息/Info

Title:
 Energy Consumption Control Strategy in Wireless Multimedia Sensor Networks with Clustering
文章编号:
1673-629X（2017)07-0174-06
作者:
 李兰英; 蒋维成; 何勇; 朱晋
 成都理工大学 工程技术学院
Author(s):
 LI Lan-ying; JIANG Wei-cheng; HE Yong; ZHU Jin
关键词:
 ; 无线多媒体传感器网络; 网络生存有效期; 分簇; 能耗速率色带
Keywords:
 ; wireless multimedia sensor networks; network lifetime; clustering; energy consumption rate ribbon
分类号:
TP393
文献标志码:
A
摘要:
 无线多媒体传感器网络中的能量十分宝贵,而控制无线多媒体传感器节点的能量消耗具有非常重要的意义.为此,在建模分析传感器节点能量消耗状况并进行分簇的基础上,提出了一种能耗控制策略,并给出了适合无线多媒体传感器网络的能耗速率色带表示方法及其计算方式,有效地简化了传感器节点的信息处理和计算操作,减少了能量消耗.所提出的能耗控制方法能够协调各节点能量消耗快慢,保持能耗水平趋于相同,使节点能量在网络有效生存期内得以充分利用,减少了无用残存能量的现象,延长了网络生存期.仿真实验结果表明,相对于LEACH算法,所提出的方法具有更长的网络存活期,更迟的节点死亡出现时间,死亡百分之五、百分之十和百分之十五的时间均要晚得多,有效地验证了所提出方法的正确性.
Abstract:
 Energy is a valuable resource in wireless multimedia sensor networks.It is of great significance to control the energy consumption of wireless multimedia sensor nodes.Through analyzing and processing the energy consumption of each node,a new energy consumption control strategy with clustering has been proposed,in which the method of the energy consumption rate ribbon representation and calculation for wireless multimedia sensor networks has been given.This strategy has simplified the information processing and computing as well as the decrease of energy consumption.This proposed method can coordinate the speed of energy consumption of each node and make full use of node energy in the network lifetime,which reduces unnecessary residual energy and prolongs the network lifetime.Simulation results show that compared with the LEACH algorithm,the method proposed has a longer network survival time and later node death time and that the deaths time of five percent,ten percent and fifteen percent nodes are much later having verified the correctness of this method.

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更新日期/Last Update: 2017-08-24