[1]陈欢[],沙超[][],黄海平[],等. 一种非均匀部署传感网的能量空洞缓解方法[J].计算机技术与发展,2017,27(06):22-26.
 CHEN Huan[],SHA Chao[][],HUANG Hai-ping[],et al. A Type of Energy Hole Mitigation Strategy for Non-uniformDeployed Sensor Networks[J].,2017,27(06):22-26.
点击复制

 一种非均匀部署传感网的能量空洞缓解方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年06期
页码:
22-26
栏目:
智能、算法、系统工程
出版日期:
2017-06-10

文章信息/Info

Title:
 A Type of Energy Hole Mitigation Strategy for Non-uniformDeployed Sensor Networks
文章编号:
1673-629X(2017)06-0022-05
作者:
 陈欢[1] 沙超[1][2]黄海平[1] 王汝传[1]
 1.南京邮电大学 计算机学院;2.苏州大学 江苏省计算机信息处理技术重点实验室
Author(s):
 CHEN Huan[1]SHA Chao[1][2] HUANG Hai-ping[1]WANG Ru-chuan[1]
关键词:
 无线传感网能量空洞能耗均衡非均匀部署
Keywords:
 wireless sensor networksenergy holebalance of energy consumptionnon-uniform deployment
分类号:
TP393
文献标志码:
A
摘要:
 在无线传感网中,网络中心附近的节点由于要负责全网数据的接收和转发,将会消耗更多能量,从而造成节点间能耗不均,产生"能量空洞问题".为延长簇树状无线传感网的网络生命期并均衡网内各节点能耗,提出了一种面向圆形传感器网络的能量空洞缓解方法.该方法将网络划分为虚拟的环状结构以满足多跳数据传输的要求,感知节点非均匀地分布在该圆形网络中,内环中的节点数总是多于外环,以确保数据上传过程中的能耗均衡性,各节点根据其邻近节点的剩余能量和通信距离,选择相邻环内的最优节点作为父节点上传数据.仿真实验结果表明,与其他典型的能量空洞避免方法相比,所提出的方法有效延长了网络生命期,在多跳传感网中较好地实现了能耗均衡,有效地缓解了能量空洞的产生.
Abstract:
 In Wireless Sensor Networks (WSN),nodes near the center tend to consume more energy as they are responsible for receiving and forwarding data from the whole network,which leads to a non-uniform energy consumption among nodes,that is so called the "energy hole problem".To prolong network lifetime and balance energy consumption in the cluster-tree based sensor network,a type of energy hole mitigation strategy in a circular network has been proposed.Network has been divided into several virtual annuluses for multi-hop transmission and nodes have been non-uniformly deployed in it.Moreover,for balancing energy consumption on data uploading,the number of nodes in the inner annulus is more than that in the outer one.According to the residual energy and the communication distance of its neighbor,each node has chosen an optimal parent in the adjacent annulus for data uploading.Simulation results have shown that this method could effectively prolong network lifetime by comparing with other energy hole avoidance algorithms and has also performed well on balancing energy consumption in the multi-hop transmission network and could effectively mitigate the energy hole problem.

相似文献/References:

[1]马军,翟宇豪,姜鑫,等.基于Msp430无线安防传感网的设计研究[J].计算机技术与发展,2014,24(01):172.
 MA Jun[],ZHAI Yu-hao[],JIANG Xin[],et al.Design and Research of Security for Wireless Sensor Network Based on Msp430[J].,2014,24(06):172.
[2]李玲娟 丁亮.无线传感网中多跳路由算法的研究[J].计算机技术与发展,2010,(06):55.
 LI Ling-juan,DING Liang.Research on Multi-Hop Routing Algorithm of Wireless Sensor Network[J].,2010,(06):55.
[3]张利刚 鲍星合 罗斌.基于CC1100的无线传感网基站设计[J].计算机技术与发展,2009,(07):10.
 ZHANG Li-gang,BAO Xing-he,LUO Bin.A Design of Wireless Sensor Networks Base Station Based on CC1100[J].,2009,(06):10.
[4]司宏林 王晓蔚.无线传感网多信道的MAC层协议[J].计算机技术与发展,2006,(03):232.
 SI Hong-lin,WANG Xiao-wei.MAC Protocols of Multi-Channel Based on Wireless Sensor Networks[J].,2006,(06):232.
[5]刘拥军 王晓蔚.基于ZigBee的无线传感网的分群算法[J].计算机技术与发展,2006,(06):204.
 LIU Yong-jun,WANG Xiao-wei.A Clustering Algorithm in Wireless Sensor Network Based on ZigBee[J].,2006,(06):204.
[6]宗平 刘柳 乔秀泉[].认知无线电技术在ZigBee中的应用研究[J].计算机技术与发展,2012,(08):241.
 ZONG Ping,LIU Liu,QIAO Xiu-quan.Application Research of Cognitive Radio Technology in ZigBee[J].,2012,(06):241.
[7]沙超 王汝传.一种基于移动信标的无线传感网节能定位方法[J].计算机技术与发展,2012,(12):51.
 SHA Chao,WANG Ru-chuan.A Type of Energy-efficient Localization Method Based on Mobile Beacons for Wireless Sensor Networks[J].,2012,(06):51.
[8]顾兵.WSN 中规则区域的最优覆盖研究[J].计算机技术与发展,2013,(01):107.
 GU Bing.Research on Optimal Coverage Problem of Regular Region in WSN[J].,2013,(06):107.
[9]单剑锋,庄琴清,陈明.基于簇首概率优化的LEACH协议改进[J].计算机技术与发展,2013,(02):138.
 SHAN Jian-feng,ZHANG Qin-qing,CHEN Ming.Improvement of LEACH Algorithm Based on Optimized Percentage of Cluster Heads[J].,2013,(06):138.
[10]汪燕,李玲娟.无线传感网数据安全采集方案研究[J].计算机技术与发展,2013,(02):229.
 WANG Yan,LI Ling-juan.Research on Safe Data Acquisition Scheme for WSN[J].,2013,(06):229.
[11]蒋建峰[],谷瑞[],薛超[]. 层次型无线传感网基于语义的路由算法[J].计算机技术与发展,2014,24(07):125.
 JIANG Jian-feng[,GU Rui[],XUE Chao[]. A Semantic-based Routing Algorithm for Hierarchical Wireless Sensor Networks[J].,2014,24(06):125.
[12]缪剑峰,管有庆. 轻量级IPv6邻居发现协议及在网关中的实现[J].计算机技术与发展,2014,24(10):58.
 MIAO Jian-feng,GUAN You-qing. Implementation of 6 LoWPAN Neighbor Discovery Protocol in Border Routers[J].,2014,24(06):58.
[13]张昀,于舒娟,王静. 基于鱼群算法的无线传感网簇内信号盲检测[J].计算机技术与发展,2014,24(12):16.
 ZHANG Yun,YU Shu-juan,WANG Jing. Blind Detection for Signals within Cluster of Wireless Sensor Networks Based on Artificial Fish School Algorithm[J].,2014,24(06):16.
[14]张恒一,唐震洲. 基于网络编码的汇播在无线传感网中的实现[J].计算机技术与发展,2015,25(01):234.
 ZHANG Heng-yi,TANG Zhen-zhou. Realization of Network Coding-based Convergecast in Wireless Sensor Networks[J].,2015,25(06):234.
[15]张永灿[][],黄海平[] [],曹雍[] 王汝传[][][]. 基于无线传感网的智能交通灯自适应算法[J].计算机技术与发展,2015,25(02):199.
 ZHANG Yong-can[] [],HUANG Hai-ping[] [],CAO Yong[],et al. Adaptive Traffic Light Control Algorithm Based on Wireless Sensor Networks[J].,2015,25(06):199.
[16]让涛,王立松. 一种基于网线传感器网络的数据补全算法[J].计算机技术与发展,2016,26(05):40.
 RANG Tao,WANG Li-song. A Novel Algorithm for Completion of Missing Data in Wireless Sensor Networks[J].,2016,26(06):40.
[17]王飞,张腾飞,李钦晓. 基于WSN的建筑电气设备能耗远程监控系统[J].计算机技术与发展,2016,26(05):115.
 WANG Fei,ZHANG Teng-fei,LI Qin-xiao. Remote Monitoring System for Energy Consumption of Building Electrical Equipment Based on WSN[J].,2016,26(06):115.

更新日期/Last Update: 2017-07-20