RLAN: range‐free localisation based on anisotropy of nodes for WSNs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

RLAN: range‐free localisation based on anisotropy of nodes for WSNs

Published:2015-11 Issue:24 Volume:51 Page:2066-2068
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Chen Liangyin¹^ORCID,Pang Liping¹,Zhou Beisi¹,Zhang Jingyu¹,Liu Zhenlei¹,Luo Qian²,Sun Limin³

Affiliation:

1. School of Computer ScienceSichuan UniversityChengduPeople's Republic of China

2. Information Technology BranchThe Second Research Institute of General Administration of Civil Aviation of ChinaChengduPeople's Republic of China

3. Information EngineeringBeijing Key Laboratory of IOT Information Security TechnologyBeijingPeople's Republic of China

Funder

National Science Foundation

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2015.2554

Reference4 articles.

1. A practical evaluation of radio signal strength for ranging-based localization

2. An improved method of DV‐hop localization algorithm;Wu H.;J. Comput. Inf. Syst.,2011

3. Iterative algorithm for locating nodes in WSN based on modifying average hopping distances;Lin J.;J. Commun.,2009

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Node localization in wireless sensor networks using a hyper-heuristic DEEC-Gaussian gradient distance algorithm;Scientific African;2023-03

2. Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN);Journal of the National Science Foundation of Sri Lanka;2022-10-31

3. Hybrid localization scheme using K‐fold optimization with machine learning in WSN;International Journal of Communication Systems;2022-05-15

4. A Node Location Algorithm Based on Improved Whale Optimization in Wireless Sensor Networks;Wireless Communications and Mobile Computing;2021-09-16

5. A Kernel Extreme Learning Machines Algorithm for Node Localization in Wireless Sensor Networks;IEEE Communications Letters;2020-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3