A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications

A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications

In this paper, we propose two soft computing localization techniques for wireless sensor networks (WSNs). The two techniques, Neural Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), focus on a range-based localization method which relies on the measurement of the received signal s...

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Bibliographic Details
Main Authors: Sadik Kamel Gharghan, Rosdiadee Nordin, Mahamod Ismail
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Sensors
Subjects:
cycling
distance estimation
optimization technique
soft computing
WSN
Online Access:http://www.mdpi.com/1424-8220/16/8/1043

Internet

http://www.mdpi.com/1424-8220/16/8/1043

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