Localization Scheme with MAP Pre-filter in Wireless Sensor Network Combating Intensive Measurement Noise

2018 ◽  
pp. 2529-2536
Author(s):  
Zhuangkun Wei ◽  
Yongjun Zhang ◽  
Bin Li ◽  
Chenglin Zhao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Measurement Noise ◽  
Wireless Sensor ◽  
Localization Scheme

A WSN-Based Localization Scheme Considering the Reliability of RSSI Measurements

2013 ◽  
Vol 679 ◽  
pp. 115-120
Author(s):  
In Whee Joe ◽  
Myung Oh Park
Keyword(s):  
Wireless Sensor Network ◽  
Standard Deviation ◽  
Environmental Factors ◽  
Sensor Network ◽  
Path Loss ◽  
Signal Strength ◽  
Wireless Sensor ◽  
Reference Node ◽  
Localization Scheme ◽  
Received Signal Strength Indication

In this paper, we propose a localization scheme considering the reliability of RSSI (Received Signal Strength Indication) measurements in the WSN (Wireless Sensor Network) environment. This scheme attempts to reduce location errors due to indoor obstacles or environmental factors, when location calculations are based on RSSI. The standard deviation is used to evaluate the reliability of RSSI measurements from the reference node. Also, the directional path loss exponent is calculated through learning with respect to the reference node. The experimental results show that the proposed localization scheme improves the performance significantly in terms of location accuracy, compared to the existing RSSI-based approaches.

scholarly journals A Novel Approach of Efficient Localization Scheme for Wireless Sensor Network

2016 ◽  
Vol 9 (47) ◽  
Author(s):  
Kailas Tambe ◽  
Yaswanth Kumar Avulapati ◽  
G. Krishna Mohan ◽  
Vivek S. Deshpande
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Localization Scheme ◽  
Novel Approach

scholarly journals A node localization algorithm based on Voronoi diagram and support vector machine for wireless sensor networks

2021 ◽  
Vol 17 (2) ◽  
pp. 155014772199341
Author(s):  
Zhanjun Hao ◽  
Jianwu Dang ◽  
Yan Yan ◽  
Xiaojuan Wang
Keyword(s):  
Support Vector Machine ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Voronoi Diagram ◽  
Wireless Sensor ◽  
Selection Strategy ◽  
Support Vector ◽  
Localization Algorithm ◽  
Target Node ◽  
Localization Scheme

For wireless sensor network, the localization algorithm based on Voronoi diagram has been applied. However, the location accuracy node position in wireless sensor network needs to be optimized by the analysis of the literature, a node location algorithm based on Voronoi diagram and support vector machine is proposed in this article. The basic idea of the algorithm is to first divide the region into several parts using Voronoi diagram and anchor node in the localization region. The range of the initial position of the target node is obtained by locating the target node in each region and then the support vector machine is used to optimize the position of the target node accurately. The localization performance of the localization algorithm is analyzed by simulation and real-world experiments. The experimental results show that the localization algorithm proposed in this article is better than the optimal region selection strategy based on Voronoi diagram-based localization scheme and Weighted Voronoi diagram-based localization scheme localization algorithms in terms of localization accuracy. Therefore, the performance of the localization algorithm proposed in this article is verified.

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