Next Article in Journal
Vanishing Point Extraction and Refinement for Robust Camera Calibration
Next Article in Special Issue
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Previous Article in Journal
Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection
Previous Article in Special Issue
A Component-Based Approach for Securing Indoor Home Care Applications
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 56; https://doi.org/10.3390/s18010056

Mixed H2/H-Based Fusion Estimation for Energy-Limited Multi-Sensors in Wearable Body Networks

1
Key Laboratory of Communication and Information Systems, Beijing Jiaotong University, Beijing 100044, China
2
Beijing Municipal Commission of Education, Department of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
3
School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China
4
School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China
5
School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China
6
Department of Electrical Engineering, National Dong Hwa University, Hualien 97401, Taiwan
7
Department of Computer Science and Information Engineering, National Ilan University, Yilan 26047, Taiwan
*
Author to whom correspondence should be addressed.
Received: 21 September 2017 / Revised: 23 December 2017 / Accepted: 24 December 2017 / Published: 27 December 2017
(This article belongs to the Special Issue Sensor-based E-Healthcare System: Greenness and Security)
Full-Text   |   PDF [2391 KB, uploaded 27 December 2017]   |  

Abstract

In wireless sensor networks, sensor nodes collect plenty of data for each time period. If all of data are transmitted to a Fusion Center (FC), the power of sensor node would run out rapidly. On the other hand, the data also needs a filter to remove the noise. Therefore, an efficient fusion estimation model, which can save the energy of the sensor nodes while maintaining higher accuracy, is needed. This paper proposes a novel mixed H2/H-based energy-efficient fusion estimation model (MHEEFE) for energy-limited Wearable Body Networks. In the proposed model, the communication cost is firstly reduced efficiently while keeping the estimation accuracy. Then, the parameters in quantization method are discussed, and we confirm them by an optimization method with some prior knowledge. Besides, some calculation methods of important parameters are researched which make the final estimates more stable. Finally, an iteration-based weight calculation algorithm is presented, which can improve the fault tolerance of the final estimate. In the simulation, the impacts of some pivotal parameters are discussed. Meanwhile, compared with the other related models, the MHEEFE shows a better performance in accuracy, energy-efficiency and fault tolerance. View Full-Text
Keywords: fusion estimation; wearable sensors; energy-efficiency; accuracy fusion estimation; wearable sensors; energy-efficiency; accuracy
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Li, C.; Zhang, Z.; Chao, H.-C. Mixed H2/H-Based Fusion Estimation for Energy-Limited Multi-Sensors in Wearable Body Networks. Sensors 2018, 18, 56.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top