An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation

YANG Xiang; LIU Mei-feng; DENG Deng-teng

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An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation

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- An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation
- Vol. 33, Issue 2, Pages: 59-63(2016)
- 作者机构：
  
  1. 桂林理工大学机构信息科学与工程学院,广西,桂林,541004
  2. 桂林理工大学博文管理学院,广西,桂林,541006
  3. 武汉理工大学信息工程学院,湖北,武汉,430070
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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杨祥, 刘美凤, 邓登腾. 基于RSSI技术与模糊评价的DV-Hop改进算法[J]. 微电子学与计算机, 2016, 33(2): 59-63.

YANG Xiang, LIU Mei-feng, DENG Deng-teng. An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation[J]. 2016, 33(2): 59-63.
杨祥, 刘美凤, 邓登腾. 基于RSSI技术与模糊评价的DV-Hop改进算法[J]. 微电子学与计算机, 2016, 33(2): 59-63. DOI：

YANG Xiang, LIU Mei-feng, DENG Deng-teng. An Improved DV-HOP Algorithm Based on RSSI and Fuzzy Evaluation[J]. 2016, 33(2): 59-63. DOI：

摘要

DV-Hop算法由于未考虑网络节点的分布情况而直接使用跳数信息和平均跳距估算节点间距离引入较大误差

针对这一问题

提出了一种基于RSSI技术和模糊评价的DV-Hop改进算法.改进算法引入RSSI技术

根据信标节点的信号强度基值对跳数进行重计算

并以平均每跳距离对通信半径R的隶属度作为修正权值

对未知节点所接收到的每跳距离进行加权修正

同时

设置数据包生存周期跳数限定网络数据包的传输距离

提高定位算法的定位精度.通过仿真验证改进算法的定位性能

改进的定位算法能够降低节点间的跳数和距离估算误差

提高算法的定位精度.

Abstract

Aiming at the high localization error of DV-HOP caused by the Hop size and Hop count in wireless sensor network of random distribution

a new localization algorithm based on RSSI technology and Degree of Membership to reduce the localization error is proposed. The RSSI technology was introduced to this localization algorithm

according to the signal strength value of the beacon nodes to recalculate the hop count

and the average hop distance pair to communication radius degree of membership is acted as correction weights to modify the each hop distance of unknown nodes

at the same time

set life cycle of the hop count to limit the transmission distance of network data packets. The simulation result shows that the proposed algorithm can reduce the estimation error of hop count and hop distance between nodes and improve the localization precision.

关键词

Keywords

references

Samiru Gayan. PWiMob improved DV-HOP algorithm through anchor position Re-estimation[C]// Wireless and Mobile, 2014 IEEE Asia Pacific Conference on. Bali, Inclonesia, 2014: 126-131.

Wang Lixia, Zhang Pai. A new DV-HOP algorithm in wireless sensor network[C]//2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA). Toronto, Ortario, Canada, IEEE, 2013: 194-197.

Jennifer Yick, Biswannath Mukherjee, Dipak Ghosal. Wireless sensor network survey[J]. Computer Networks, 2008, 52(12): 2292-2230. DOI: 2292

周小波, 乔钢柱, 曾建潮. 无线传感器网络中基于RSSI的加权DV-HOP定位方法[J]. 计算机工程与应用, 2011, 47(14): 109-111. DOI: 109

刘志华, 刘晓爽, 赵新妙, 等. 一种基于测距的抗虫洞攻击安全定位机制[J]. 计算机应用研究, 2012, 29(3): 1088-1094. DOI: 1088

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祝宇鸿, 历彦恺, 胡俊, 等. 基于跳数阈值和节点分类的DV-Hop改进算法[J]. 吉林大学学报, 2014, 32(4): 407-412. DOI: 407

王景珲. 一种基于DV-Hop的无线传感器网络节点定位算法[J]. 计算机工程, 2015, 41(1): 82-86. DOI: 82

赵菊敏, 李灯熬, 武健. 基于DV-Hop定位的误差加权改进算法[J]. 自动化仪表, 2014, 35(7): 1-4. DOI: 1

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