A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network-Reference-Cited by-同舟云学术

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A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network

Published:2017-04-10 Issue:3 Volume:46 Page:1043-1057
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Zhang Xinrong,Xiong Weili,Xu Baoguo

Funder

Modeling and parameter estimation of fermentation process of rice wine

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-017-9625-3/fulltext.html

Reference20 articles.

1. Li S, Wang Z, Li Y (2013) Using laplacian eigenmap as heuristic information to solve nonlinear constraints defined on a graph and its application in distributed range-free localization of wireless sensor networks. Neural Process Lett 37(3):411–424

2. Decarli N, Guidi F, Dardari D (2014) A novel joint RFID and radar sensor network for passive localization: design and performance bounds. IEEE J Sel Top Signal Process 8(1):80–95

3. Li S, Qin F (2013) A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs. Neurocomputing 117(117):72–80

4. Wang T, Shen Y, Mazuelas S, Shin H, Win MZ (2014) On OFDM ranging accuracy in multipath channels. IEEE Syst J 8(1):104–114

5. Li S, Lou Y, Liu B (2014) Bluetooth aided mobile phone localization: a nonlinear neural circuit approach. ACM Trans Embed Comput Syst 13(4):1–15

Cited by 2 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. Integrating Bluetooth-Enabled Sensors with Cloud Computing for Fire Hazard Communication Systems;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2024-09

2. A Recurrent Learning Method Based on Received Signal Strength Analysis for Improving Wireless Sensor Localization;Circuits, Systems, and Signal Processing;2019-02-20

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