scholarly journals Robust Localization for Cognitive IoT via the Mobile Anchor Node Based on the Diameter-Varying Spiral Line

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 28487-28497 ◽  
Author(s):  
Xin Wang ◽  
Zhihong Qian ◽  
Xue Wang ◽  
Lan Huang
Keyword(s):  
Anchor Node ◽  
Mobile Anchor ◽  
Robust Localization ◽  
Spiral Line ◽  
Mobile Anchor Node

scholarly journals Path planning using a mobile anchor node based on trilateration in wireless sensor networks

2011 ◽  
Vol 13 (14) ◽  
pp. 1324-1336 ◽  
Author(s):  
Guangjie Han ◽  
Huihui Xu ◽  
Jinfang Jiang ◽  
Lei Shu ◽  
Takahiro Hara ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Planning ◽  
Wireless Sensor ◽  
Anchor Node ◽  
Mobile Anchor ◽  
Mobile Anchor Node

M-Curves Path Planning for Mobile Anchor Node and Localization of Sensor Nodes Using DSA

2020 ◽  
pp. 99-120
Author(s):  
Damodar Reddy Edla ◽  
Mahesh Chowdary Kongara ◽  
Amruta Lipare ◽  
Venkatanareshbabu Kuppili ◽  
K Kannadasan
Keyword(s):  
Path Planning ◽  
Sensor Nodes ◽  
Anchor Node ◽  
Mobile Anchor ◽  
Mobile Anchor Node

Geometric arrangement of mobile anchor node

2019 ◽  
Author(s):  
Izanoordina Ahmad ◽  
Aizat Faiz Ramli ◽  
Yumin Shakira Deraman
Keyword(s):  
Anchor Node ◽  
Mobile Anchor ◽  
Mobile Anchor Node

scholarly journals Three-Dimensional Localization Algorithm of WSN Nodes Based on RSSI-TOA and Single Mobile Anchor Node

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Lieping Zhang ◽  
Zhenyu Yang ◽  
Shenglan Zhang ◽  
Huanhuan Yang
Keyword(s):  
Three Dimensional ◽  
Estimation Method ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Localization Algorithm ◽  
Anchor Node ◽  
Localization Accuracy ◽  
Localization Method ◽  
Mobile Anchor ◽  
Mobile Anchor Node

Aimed at the shortcomings of low localization accuracy of the fixed multianchor method, a three-dimensional localization algorithm for wireless sensor network nodes is proposed in this paper, which combines received signal strength indicator (RSSI) and time of arrival (TOA) ranging information and single mobile anchor node. A mobile anchor node was introduced in the proposed three-dimensional localization algorithm for wireless sensor networks firstly, and the mobile anchor node moves according to the Gauss–Markov three-dimensional mobility model. Then, based on the idea of using RSSI ranging in the near end and TOA ranging in the far end, a ranging method combining RSSI and TOA ranging information is proposed to obtain the precise distance between the anchor node and the unknown node. Finally, the maximum-likelihood estimation method is used to estimate the position of unknown nodes based on the obtained ranging values. The MATLAB simulation results show that the proposed algorithm had a higher localization accuracy and lower localization energy consumption compared with the traditional RSSI localization method or TOA localization method.

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