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Fusion of heterogeneous sensors data

Wilfried Elmenreich, Robert Leidenfrost
2008 2008 International Workshop on Intelligent Solutions in Embedded Systems  
A heterogeneous approach requires sensor fusion algorithms that take the different uncertainties of the sensors into account. In this paper we elaborate two sensor fusion methods for this task.  ...  A configuration with heterogeneous sensors using different measurement approaches most likely overcome the problem of correlated measurement errors as they occur when employing a set of homogeneous sensors  ...  We would like to thank the anonymous reviewers for their constructive comments on an earlier version of this paper.  ... 
doi:10.1109/wises.2008.4623307 dblp:conf/wises/ElmenreichL08 fatcat:dbun4textnbmzdwy5nt5j6isli

Credibility Assessment Method of Sensor Data Based on Multi-Source Heterogeneous Information Fusion

Yanling Feng, Jixiong Hu, Rui Duan, Zhuming Chen
2021 Sensors  
The credibility of sensor data is essential for security monitoring.  ...  Finally, the comprehensive data reliability for evaluating data quality can be acquired based on the credibility of data sources and combined data credibility.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21072542 pmid:33916389 fatcat:hg5oad6ulbfv3pxt4h6o6o3j64

Edge and Fog Computing Platform for Data Fusion of Complex Heterogeneous Sensors

Gabriel Mujica, Roberto Rodriguez-Zurrunero, Mark Wilby, Jorge Portilla, Ana Belén Rodríguez González, Alvaro Araujo, Teresa Riesgo, Juan José Vinagre Díaz
2018 Sensors  
However, the integration of complex heterogeneous sensors producing a great amount of diverse data opens new challenges to be faced.  ...  In this work, we present an edge and fog computing platform capable of providing seamless integration of complex sensors, with the implementation of an efficient data fusion strategy.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2018, 18, 3630  ... 
doi:10.3390/s18113630 pmid:30366462 fatcat:vdzd2j4vdvdlfebfohyvnzzyo4

Data Fusion Algorithm for Heterogeneous Wireless Sensor Networks Based on Extreme Learning Machine Optimized by Particle Swarm Optimization

Li Cao, Yong Cai, Yinggao Yue
2020 Journal of Sensors  
Data fusion can reduce the data communication time between sensor nodes, reduce energy consumption, and prolong the lifetime of the network, making it an important research focus in the field of heterogeneous  ...  The data fusion model fuses the original data collected by the sensor nodes.  ...  The energy consumption of a heterogeneous sensor network is defined as the sum of the energy consumed by the sensor nodes in the network.  ... 
doi:10.1155/2020/2549324 fatcat:zbcoieb54jf7nl4o7r4qv4qwym

Multisource Heterogeneous Data Fusion Analysis of Regional Digital Construction Based on Machine Learning

Mengmeng Jiang, Qiong Wu, Xuetao Li, Mu Zhou
2022 Journal of Sensors  
This shows that machine learning methods can play an important role in the analysis of multisource heterogeneous data fusion in regional digital construction.  ...  In order to understand the influencing factors of regional digitalization, this paper conducts multisource heterogeneous data fusion analysis based on regional digitalization of machine learning, using  ...  Acknowledgments This work was supported by the School level youth fund project of Wuhan Donghu University (No. 2019dhsk006).  ... 
doi:10.1155/2022/8205929 fatcat:dsdzlpq2ibgrjiz5atzj5nrpc4

Network-Coding-Based Energy-Efficient Data Fusion and Transmission for Wireless Sensor Networks with Heterogeneous Receivers

Lei Wang, Yuwang Yang, Wei Zhao, Lei Xu, Shaohua Lan
2014 International Journal of Distributed Sensor Networks  
This paper proposes a multirate network coding scheme to improve the energy efficiency of wireless sensor networks (WSNs).  ...  Then, a network topology which belongs to the five-layer network model will be established from the given sensor networks so that the receivers can receive data at a higher rate without introducing excessive  ...  For this reason, network coding can be grouped under data fusion.  ... 
doi:10.1155/2014/351707 fatcat:pehyexidanhh5fj7jxuk5jwmj4

A dynamic and context-aware semantic mediation service for discovering and fusion of heterogeneous sensor data

Mohamed Bakillah, Steve H.L. Liang, Alexander Zipf, Mir Abolfazl Mostafavi
2013 Journal of Spatial Information Science  
The vision of the semantic sensor web is to enable the interoperability of various applications that use sensor data provided by semantically heterogeneous sensor services.  ...  Semantic mapping for the sensor web is required to support sensor data fusion, sensor data discovery and retrieval, and automatic semantic annotation, to name only a few tasks.  ...  We also wish to thank the anonymous reviewers for their valuable comments which contributed to the improvement of this paper.  ... 
doi:10.5311/josis.2013.6.104 fatcat:urbtiqgfcvawnc7t3wtwp6l3tq

Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors

Sen Qiu, Zhelong Wang, Hongyu Zhao, osheng Hu
2017 International Journal of Computational Science and Engineering (IJCSE)  
Three-dimensional foot orientation and position were estimated by a Kalman based sensor fusion algorithm and validated by ground truth provided by Vicon system.  ...  information of human foot motion during level walking and stair climbing process.  ...  In regard with the data fusion, we adopted the Kalman filter to fuse different types of sensor data, obtaining complete three-dimensional orientation and position tracking of foot during walking trials  ... 
doi:10.1504/ijcse.2017.084154 fatcat:a4bn3mbcmvedbbpziafggw2ezq

Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure

Thomas Moeckel, Hanieh Safari, Björn Reddersen, Thomas Fricke, Michael Wachendorf
2017 Remote Sensing  
Fusion of ultrasonic and spectral sensors is a promising approach to assess biomass even in heterogeneous pastures.  ...  Sensor data fusion by combining ultrasonic sward height (USH) with narrow band normalized difference spectral index (NDSI) (R 2 CV = 0.52) or simulated WorldView2 (WV2) (R 2 CV = 0.48) satellite broad  ...  Acknowledgments: The authors would like to thank the section of Grassland Science, Georg-August-Universität Göttingen for the provision of experimental pastures and their kind cooperation.  ... 
doi:10.3390/rs9010098 fatcat:qeqgzd5edjaplc7xhneitsdfbm

Multi-Sensor-Fusion Approach for a Data-Science-Oriented Preventive Health Management System: Concept and Development of a Decentralized Data Collection Approach for Heterogeneous Data Sources

Sebastian Neubert, André Geißler, Thomas Roddelkopf, Regina Stoll, Karl-Heinz Sandmann, Julius Neumann, Kerstin Thurow
2019 International Journal of Telemedicine and Applications  
In this paper, the introduction of a decentralized multi-sensor-fusion approach for a preventive health-management system is described.  ...  A low-level data fusion in the mDCS includes the synchronization of the data sources, the individual selection of required data sets and the execution of pre-processing procedures.  ...  (iii) Sensor data fusion-Final aim of the system development is an adaptive complementary as well as cooperative data fusion.  ... 
doi:10.1155/2019/9864246 pmid:31687017 pmcid:PMC6800927 fatcat:ugi34qhymzhm5db6wnd2pxjdpm

An Efficient Data Fusion Approach for Event Detection in Heterogeneous Wireless Sensor Networks

Pinghui Zou, Yun Liu
2015 Applied Mathematics & Information Sciences  
Particularly, in this paper, we study on the data fusion approach based on the type of complementary heterogeneous wireless sensor networks, and the fire disaster detection is utilized as an example of  ...  This paper concentrates an efficient event detection approach exploiting data fusion technology for the heterogeneous wireless sensor networks.  ...  In the following section, the formal description of data fusion in heterogeneous wireless sensor networks is given.  ... 
doi:10.12785/amis/010160 fatcat:smrzteblwjawxiiflcvfaynjp4

An Efficient Data Fusion Approach for Event Detection in Heterogeneous Wireless Sensor Networks

Pinghui Zou, Yun Liu
2015 Applied Mathematics & Information Sciences  
Particularly, in this paper, we study on the data fusion approach based on the type of complementary heterogeneous wireless sensor networks, and the fire disaster detection is utilized as an example of  ...  This paper concentrates an efficient event detection approach exploiting data fusion technology for the heterogeneous wireless sensor networks.  ...  In the following section, the formal description of data fusion in heterogeneous wireless sensor networks is given.  ... 
doi:10.12785/amis/090160 fatcat:n7tmt4lhmjcx5dy3l5tynvkhau

Nodes Deployment Scheme of Heterogeneous Wireless Sensor Network Based on Organic Small Molecule Model

Juwei Zhang, Yu Wang, Yachuang Liu, Qiangyi Li
2015 TELKOMNIKA Indonesian Journal of Electrical Engineering  
Combined with DSmT data fusion model, the changes of network coverage ratio after using the new sensing model and data fusion algorithm is studied.  ...  <p>For nodes deployment of heterogeneous sensor network, based on different probability sensing models of heterogeneous nodes, refer to organic small molecule model, 'class molecule' sensing model of heterogeneous  ...  Step 7: The data fusion nodes collect the data of other sensors for data fusion at regular intervals.  ... 
doi:10.11591/tijee.v16i3.1650 fatcat:44zsn7fhizdarivvartw6bvhe4

A Novel Data Fusion Strategy Based on Extreme Learning Machine Optimized by Bat Algorithm for Mobile Heterogeneous Wireless Sensor Networks

Li Cao, Yong Cai, Yinggao Yue, Shaotang Cai, Bo Hang
2020 IEEE Access  
In this paper, the data fusion process of mobile heterogeneous wireless sensor networks is mainly studied, and regards the nodes of wireless sensor networks as neurons in the neural network of extreme  ...  efficiency and the long delay, a new method of data fusion for mobile heterogeneous wireless sensor networks based on extreme learning machine optimized by bat algorithm is proposed.  ...  The data fusion scenario of the mobile heterogeneous wireless sensor network (MHWSNs) is shown in Figure 1 .  ... 
doi:10.1109/access.2020.2967118 fatcat:y7oh5r23dngxxorrhxccmkc3au

A New View of Multisensor Data Fusion: Research on Generalized Fusion

Guo Chen, Zhigui Liu, Guang Yu, Jianhong Liang, Jude Hemanth
2021 Mathematical Problems in Engineering  
Multisensor data generalized fusion algorithm is a kind of symbolic computing model with multiple application objects based on sensor generalized integration.  ...  Finally, according to the multisensor data generalized fusion architecture, some related theories and methods are reviewed, and the tensor-based multisensor heterogeneous data generalized fusion algorithm  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China, under Grant no. 51905302.  ... 
doi:10.1155/2021/5471242 fatcat:irxnbl65nvao5g4o4ywkj6jazu
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