[1]凡高娟,侯彦娥,王汝传..基于RSSI参数纠正的无线传感器网络应急救灾系统[J].郑州大学学报(工学版),2012,33(04):94-97.[doi:10.3969/j.issn.1671-6833.2012.04.022]
　FAN Gaojuan,HOU Yane,WANG Ruchuan.RSSI based Parameters Correction Emergency Disaster Response Systemof Wireless Sensor Networks[J].Journal of Zhengzhou University (Engineering Science),2012,33(04):94-97.[doi:10.3969/j.issn.1671-6833.2012.04.022]
点击复制

基于RSSI参数纠正的无线传感器网络应急救灾系统()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
33
期数:
2012年04期
页码:
94-97
栏目:
出版日期:
2012-07-10

文章信息/Info

Title:
RSSI based Parameters Correction Emergency Disaster Response Systemof Wireless Sensor Networks
作者:
凡高娟; 侯彦娥; 王汝传.
河南大学计算机与信息工程学院,河南开封475004;江苏省无线传感网高技术研究重点实验室,江苏南京210003, 河南大学计算机与信息工程学院,河南开封,475004, 江苏省无线传感网高技术研究重点实验室,江苏南京,210003
Author(s):
FAN Gaojuan; HOU Yane; WANG Ruchuan
1. School of Computer and Information Engineering, Henan University, Kaifeng 475004, China;2. jiangsu High Technology Researeh Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
关键词:
无线传感器网络;  接收信号强度(RSSI);  距离估计
Keywords:
wireless sensor networks;  Received signal strength indication;  distance estimation
分类号:
TP393
DOI:
10.3969/j.issn.1671-6833.2012.04.022
摘要:
在突发事件的应急救灾系统中,对被困人员的定位是应急救灾首要考虑的问题.利用获得RSSI 信息无需任何硬件设施、需要较少的通信开销和具有较低的实现复杂度特点,实现一种基于RSSI参数纠正的无线传感器网络应急救灾系统.针对RSSI获得信息的不稳定性,提出一种参数纠正方案,并给出应急救灾的系统架构.在VS2008平台下实现应急救灾系统,系统运行结果表明,基于RSSI参数纠正的方法可以精确获得被困人员的信息.本系统适用于应急救灾环境.
Abstract:
Trapped positioning is the primary consideration in emergeney disaster response systems.(iven theadvantage that employing RSSl( Received signal strength indications) -based distanee estimation needs no ex.tra hardware, less communication cost as well as lower implementation complexity, we develop a RSSI-basedparameters correction emergency disaster response system.We propose a RSSl-based parameter correctionschema to tackle the problem of instability for RSSl information. We also give the system architecture of the e-mergency disaster response system, The system was implemented on VS2008 platorm, the experimental resultsshow that the system can obtain accurate information of the trapped persons. This system is very applicable tothe emergent disaster environment.

相似文献/References:

[1]阎新芳王晓晓冯岩.基于Q学习的无线传感网分簇拓扑控制算法[J].郑州大学学报(工学版),2015,36(02):85.[doi:10.3969/ j. issn.1671-6833.2015.02.019]
　YAN Xin-fang,WANG Xiao-xiao,FENG Yan,et al.A Clustering Topology Algorithm Based on Q-learning in WSN[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):85.[doi:10.3969/ j. issn.1671-6833.2015.02.019]
[2]冯冬青邢凯丽.基于能量平衡的无线传感网络分布式成簇机制[J].郑州大学学报(工学版),2015,36(03):6.[doi:10.3969/ j. issn.1671 -6833.2015.03.002]
　FENG Dong-qing,XING Kai-li.A Distributed Clustering Mechanism Based on Energy Balancein Wireless Sensor Networks[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):6.[doi:10.3969/ j. issn.1671 -6833.2015.03.002]
[3]严晶晶,阎新芳,冯岩.WSN中基于梯度和粒子群优化算法的分级簇算法[J].郑州大学学报(工学版),2016,37(02):33.[doi:10.3969/j.issn.1671-6833.201505017]
　Yan Xinfang,Yan Jingjing,Feng Yan.Gradient and Particle Swarm Optimization Based Hierarchical Cluster Algorithm in WSN[J].Journal of Zhengzhou University (Engineering Science),2016,37(04):33.[doi:10.3969/j.issn.1671-6833.201505017]
[4]滕志军,郭力文,吕金玲,等.基于时序信息分析的WSN贝叶斯信誉评价模型[J].郑州大学学报(工学版),2019,40(01):38.[doi:10.13705/j.issn.1671-6833.2019.01.007]
　Teng Zhijun,Guo Liwen,Lu Jinling,et al.WSN Bayes Reputation Evaluation Model Based on Time Series Information Analysis[J].Journal of Zhengzhou University (Engineering Science),2019,40(04):38.[doi:10.13705/j.issn.1671-6833.2019.01.007]
[5]申金媛,赵旭东,刘润杰,等.一种无线传感器网络分层拓扑推断算法[J].郑州大学学报(工学版),2011,32(03):111.[doi:10.3969/j.issn.1671-6833.2011.03.027]

更新日期/Last Update: 1900-01-01