Distributed Service-Based Approach for Sensor Data Fusion in IoT Environments

Rodríguez-Valenzuela, Sandra; Holgado-Terriza, Juan A.; Gutierrez-Guerrero, Jose Miguel; Muros-Cobos, Jesús L.

doi:10.3390/s141019200

Cited by 29 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the centralized filter can result in a large computational burden and poor fault tolerance due to overloading of the filter with too many data [16]. To deal with these problems, decentralized information fusion methods [17,18,19] have been developed in fields such as distributed control systems and integrated navigation. In decentralized fusion, a processor at the center of the network is used to manage all nodes.…”

Section: Introductionmentioning

confidence: 99%

An Improved Multi-Sensor Fusion Navigation Algorithm Based on the Factor Graph

Zeng

Chen

Liu

et al. 2017

Sensors

View full text Add to dashboard Cite

An integrated navigation system coupled with additional sensors can be used in the Micro Unmanned Aerial Vehicle (MUAV) applications because the multi-sensor information is redundant and complementary, which can markedly improve the system accuracy. How to deal with the information gathered from different sensors efficiently is an important problem. The fact that different sensors provide measurements asynchronously may complicate the processing of these measurements. In addition, the output signals of some sensors appear to have a non-linear character. In order to incorporate these measurements and calculate a navigation solution in real time, the multi-sensor fusion algorithm based on factor graph is proposed. The global optimum solution is factorized according to the chain structure of the factor graph, which allows for a more general form of the conditional probability density. It can convert the fusion matter into connecting factors defined by these measurements to the graph without considering the relationship between the sensor update frequency and the fusion period. An experimental MUAV system has been built and some experiments have been performed to prove the effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Multi-Sensor Fusion Navigation Algorithm Based on the Factor Graph

Zeng

Chen

Liu

et al. 2017

Sensors

View full text Add to dashboard Cite

show abstract

“…In this context, the auto-configuration in service-oriented platforms is focused mainly on the application of a discovery mechanism that helps the identification of any service that has been previously registered in a Service Directory [26]. In addition, the presence of a service composition mechanism provides a list of discoverable services that each service must know before using them [27].…”

Section: Auto-configuration In Industrial Environmentsmentioning

confidence: 99%

Automatic Configuration of OPC UA for Industrial Internet of Things Environments

Gutierrez-Guerrero

Holgado-Terriza

2019

Electronics

View full text Add to dashboard Cite

Software technologies play an increasingly significant role in industrial environments, especially for the adoption of Industrial Internet of Things (IIoT). In this context, the application of mechanisms for the auto-configuration of industrial systems may be relevant for reducing human errors and costs in terms of time and money, improving the maintenance and the quality control. OPC UA (OLE for Process Control Unified Architecture) systems are usually integrated into an industrial system to provide a standard way for setting a secure and reliable data exchange between industrial devices of multiple vendors and software systems. In this paper, a novel mechanism for the auto-configuration of OPC UA systems is proposed from an initial setup of industrial devices interconnected to a basic Ethernet network. The auto-configuration of the OPC UA is self-managed over the TCP/IP protocol. This mechanism allows automating the configuration process of the OPC UA server automatically from the programmable logic controller (PLC) devices connected to a basic Ethernet network. Once the PLC devices are identified, they exchange information directly with OPC using a Modbus protocol over the same Ethernet network. To test the feasibility of this approach, a case study is prepared and evaluated.

show abstract

“…The paper [53] used graph theory to model the service composition. A service composition map is formed by composite operations, and the relations between operations, invokers or requests can be regarded as a composition graph.…”

Section: Related Workmentioning

confidence: 99%

A Novel Petri Nets-Based Modeling Method for the Interaction between the Sensor and the Geographic Environment in Emerging Sensor Networks

Zhang

Chou

2016

Sensors

View full text Add to dashboard Cite

The service of sensor device in Emerging Sensor Networks (ESNs) is the extension of traditional Web services. Through the sensor network, the service of sensor device can communicate directly with the entity in the geographic environment, and even impact the geographic entity directly. The interaction between the sensor device in ESNs and geographic environment is very complex, and the interaction modeling is a challenging problem. This paper proposed a novel Petri Nets-based modeling method for the interaction between the sensor device and the geographic environment. The feature of the sensor device service in ESNs is more easily affected by the geographic environment than the traditional Web service. Therefore, the response time, the fault-tolerant ability and the resource consumption become important factors in the performance of the whole sensor application system. Thus, this paper classified IoT services as Sensing services and Controlling services according to the interaction between IoT service and geographic entity, and classified GIS services as data services and processing services. Then, this paper designed and analyzed service algebra and Colored Petri Nets model to modeling the geo-feature, IoT service, GIS service and the interaction process between the sensor and the geographic enviroment. At last, the modeling process is discussed by examples.

show abstract

Distributed Service-Based Approach for Sensor Data Fusion in IoT Environments

Cited by 29 publications

References 35 publications

An Improved Multi-Sensor Fusion Navigation Algorithm Based on the Factor Graph

An Improved Multi-Sensor Fusion Navigation Algorithm Based on the Factor Graph

Automatic Configuration of OPC UA for Industrial Internet of Things Environments

A Novel Petri Nets-Based Modeling Method for the Interaction between the Sensor and the Geographic Environment in Emerging Sensor Networks

Contact Info

Product

Resources

About