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Open AccessCommunication

A Novel Location Source Optimization Algorithm for Low Anchor Node Density Wireless Sensor Networks

School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Author to whom correspondence should be addressed.
Academic Editor: Simon Tomažič
Sensors 2021, 21(5), 1890; https://doi.org/10.3390/s21051890
Received: 21 January 2021 / Revised: 4 March 2021 / Accepted: 5 March 2021 / Published: 8 March 2021
(This article belongs to the Special Issue Indoor Positioning and Navigation)
Location information is one of the basic elements of the Internet of Things (IoT), which is also an important research direction in the application of wireless sensor networks (WSNs). Aiming at addressing the TOA positioning problem in the low anchor node density deployment environment, the traditional cooperative localization method will reduce the positioning accuracy due to excessive redundant information. In this regard, this paper proposes a location source optimization algorithm based on fuzzy comprehensive evaluation. First, each node calculates its own time-position distribute conditional posterior Cramer-Rao lower bound (DCPCRLB) and transfers it to neighbor nodes. Then collect the DCPCRLB, distance measurement, azimuth angle and other information from neighboring nodes to form a fuzzy evaluation factor set and determine the final preferred location source after fuzzy change. The simulation results show that the method proposed in this paper has better positioning accuracy about 33.9% with the compared method in low anchor node density scenarios when the computational complexity is comparable. View Full-Text
Keywords: cooperative localization; location source optimization; fuzzy comprehensive evaluation; DCPCRLB cooperative localization; location source optimization; fuzzy comprehensive evaluation; DCPCRLB
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MDPI and ACS Style

Deng, Z.; Tang, S.; Deng, X.; Yin, L.; Liu, J. A Novel Location Source Optimization Algorithm for Low Anchor Node Density Wireless Sensor Networks. Sensors 2021, 21, 1890. https://doi.org/10.3390/s21051890

AMA Style

Deng Z, Tang S, Deng X, Yin L, Liu J. A Novel Location Source Optimization Algorithm for Low Anchor Node Density Wireless Sensor Networks. Sensors. 2021; 21(5):1890. https://doi.org/10.3390/s21051890

Chicago/Turabian Style

Deng, Zhongliang; Tang, Shihao; Deng, Xiwen; Yin, Lu; Liu, Jingrong. 2021. "A Novel Location Source Optimization Algorithm for Low Anchor Node Density Wireless Sensor Networks" Sensors 21, no. 5: 1890. https://doi.org/10.3390/s21051890

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