.png){kind=icon}
返回
DV-Hop based localization methods for additionally deployed nodes in wireless sensor network using genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1007/s12652-020-01907-1.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Localization of sensor nodes is of utmost importance as the information collected by sensor nodes may be meaningless without the knowledge of its origin. Due to limited battery life and non uniform data loaded in the network, some of the sensor nodes may exhaust their battery early and may cease their intended function. This may lead to partitioning of network, wherein some portion of network may not communicate its sensed data to the sink node. In such situation we need to deploy some additional new nodes in the network. Newly deployed nodes needs to be localized as they are unaware of their estimated location. In this paper, we have proposed a new framework to localize newly deployed nodes in a pre-localized network using GA DV-Hop algorithm. The proposed framework has been simulated for various network topologies such as Random topology, C-shaped topology and W-shaped topology. Simulation results show that our proposed localization framework has a trade off between localization error and energy consumption, i.e. one of the proposed method features high localization accuracy at the cost of high energy consumption. However, it has been observed that proposed methods requires less time for localization as compared to traditional methods.
Keyword:
Wireless sensor network
Localization
Range free
DV-Hop
Genetic algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
J
IF:
0
论文数:
71
被引数:
0
机构
引用论文
Improved range-free localization for three-dimensional wireless sensor networks using genetic algorithm基于遗传算法的三维无线传感器网络无测距定位改进
PREAI
分享收藏Extended focused assessment with sonography for trauma (EFAST) in the diagnosis of pneumothorax: Experience at a community based level I trauma center.png)
Injury
InjuryIF0
PREAI
分享收藏
分享收藏
查看更多内容