Secure and Robust DV-Hop Localization Based on the Vector Refinement Feedback Method for Wireless Sensor Networks | Zendy

Xiaoyin Li | Zendy; Lianshan Yan | Zendy; Wei Pan | Zendy; Bin Luo | Zendy

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Secure and Robust DV-Hop Localization Based on the Vector Refinement Feedback Method for Wireless Sensor Networks

Author(s) -

Xiaoyin Li,

Lianshan Yan,

Wei Pan,

Bin Luo

Publication year - 2017

Publication title -

the computer journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.319

H-Index - 64

eISSN - 1460-2067

pISSN - 0010-4620

DOI - 10.1093/comjnl/bxx002

Subject(s) - computer science , wireless sensor network , scalability , outlier , anomaly detection , hop (telecommunications) , process (computing) , real time computing , algorithm , computer network , data mining , artificial intelligence , database , operating system

Localization with low cost and high accuracy is of utmost importance for most applications in wireless sensor networks (WSNs). Most existing range-free schemes have limitations in one or more areas, such as low accuracy, low scalability and threat from the malicious nodes. Secure sensor localization in WSNs has received considerable attention with the rise of Internet of things. In this paper, we ...

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