[1]孙鹏飞 王小明 刘丁.一种改进的LEACH模型及其仿真分析[J].计算机技术与发展,2012,(05):105-108.
 SUN Peng-fei,WANG Xiao-ming,LIU Ding.An Improved LEACH Model and Simulation Analysis[J].,2012,(05):105-108.
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一种改进的LEACH模型及其仿真分析()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年05期
页码:
105-108
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Improved LEACH Model and Simulation Analysis
文章编号:
1673-629X(2012)05-0105-04
作者:
孙鹏飞 王小明 刘丁
陕西师范大学计算机科学学院
Author(s):
SUN Peng-fei WANG Xiao-ming LIU Ding
College of Computer Science, Shaanxi Normal University
关键词:
无线传感器网络低功耗路由剩余能量节点集中度簇头选取
Keywords:
WSNs low energy routing residual energy node centrality head selecting
分类号:
TP31
文献标志码:
A
摘要:
为了最大限度地延长无线传感器网络生命周期,对无线传感器网络传统路由算法低功耗自适应聚类LEACH进行改进,改进后的算法命名为LEACH—EC。在广播阶段选取簇头节点时引入高概率选取机制,根据节点的剩余能量和节点的集中度选取簇头节点,选取的簇头节点兼顾了节点剩余能量和节点分布状况。实验结果表明,LEACH-EC算法选取的簇头节点性能较优,能有效地减少簇内节点传输能量消耗。因此,LEACH—EC算法能够均衡无线传感器网络能耗负载,延长无线传感器网络生命周期
Abstract:
To prolong the network lifetime effectively, the traditional low energy adaptive clustering hierarchy algorithm can be improved in WSN,improved algorithm named LEACH-EC. A high-probability selecting mechanism is introduced to select the clustering head node at broadcasting phase. This new algorithm for wireless sensor network main difference from traditional LEACH is that the LEACH -EC considers the node' s remaining energy and the node' s location. Simulation results show that the LEACH-EC algorithm can reduce and balance the energy consumption of nodes, and prolong the network lifetime more effectively than the traditional LEACH

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备注/Memo

备注/Memo:
国家自然科学基金(60773224,60970054);教育部科学技术研究重点项目(107106);教育部留学回国人员科研启动基金孙鹏飞(1986-),男,硕士研究生,研究方向为无线传感器网络;王小明,教授,博士生导师,研究方向为无线传感器网络、访问控制等
更新日期/Last Update: 1900-01-01