Abstract

This paper presents the High-Level Architecture (HLA) of the European research project DEWI (Dependable Embedded Wireless Infrastructure). The objective of this HLA is to serve as a reference framework for the development of industrial Wireless Sensor and Actuator Networks (WSANs) based on the concept of the DEWI Bubble. The DEWI Bubble constitutes a set of architecture design rules and recommendations that can be used to integrate legacy industrial sensor networks with a modern, interoperable and flexible IoT (Internet-of-Things) infrastructure. The DEWI Bubble can be regarded as a high-level abstraction of an industrial WSAN with enhanced interoperability (via standardized interfaces), dependability, technology reusability and cross-domain development. The DEWI Bubble aims to resolve the issue on how to integrate commercial WSAN technology to match the dependability, interoperability and high criticality needs of industrial domains. This paper details the criteria used to design the HLA and the organization of the infrastructure internal and external to the DEWI Bubble. The description includes the different perspectives, models, or views of the architecture: the entity model, the layered perspective of the entity model and the functional model. This includes an overview of software and hardware interfaces. The DEWI HLA constitutes an extension of the ISO/IEC 29182 SNRA (Sensor Network Reference Architecture) towards the support of wireless industrial applications in different domains: aeronautics, automotive, railway and building. To improve interoperability with existing approaches, the DEWI HLA also reuses some features from other standardized technologies and architectures. The DEWI HLA and the concept of Bubble allow networks with different industrial sensor technologies to exchange information between them or with external clients via standard interfaces, thus providing consolidated access to sensor information of different industrial domains. This is an important aspect for smart city applications, Big Data, Industry 4.0 and the Internet-of-Things (IoT). The paper includes a non-exhaustive review of the state of the art of the different interfaces, protocols and standards of this architecture. The HLA has also been proposed as the basis of the European projects SCOTT (Secure Connected Trustable Things) for enhanced security and privacy in the IoT and InSecTT (Intelligent Secure Trustable Things) for the convergence of artificial intelligence (AI) and the IoT.

Highlights

  • This paper has presented a summary of the definition of the DEWI High-Level Architecture (HLA)

  • The HLA aims to act as a reference framework for the design of wireless sensor and actuator industrial networks compliant with the concept of the DEWI Bubble

  • The DEWI HLA offers the versatility to be adapted to any kind of application/scenario requirements, and is agnostic to the underlying WSN

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Summary

Background and Motivation

The number of objects connected to the cloud has been rising dramatically in the last few years. Wireless Sensor and Actuator Networks (WSANs) are considered as one of the main enablers of the concepts of IoT, Big Data, cloud computing and smart cities. Large numbers of sensor/tags will collect measurements from the physical world and relay them to the cloud or edge processors where added-value business, control, or management information can be exploited for different applications. The use of wireless technologies in critical industrial applications has been usually linked to risks of reliability, security, safety and interference (see Table 1). This idea has been slowly changing over the past few years.

Design and production
Specific Project Motivation
Project Objectives
Related Works
Overview of the HLA and Design Elements
Objectives
DEWI Bubble Node
DEWI Service Providers
Overview
20 QoS policies
L2 Technology Evaluation
Data Exchange Technologies
Information Model
DEWI L2 Technology
DEWI Core and Technology Item Services
Interfaces
Interface DEWI Node-WSN GW
Interface DEWI WSN GW-DEWI BGW
Interface SNHL–BFL
Interface BFL–SL
Interface SL–AL
Technology Items
WSN Data Representation and Description
WSN Data Fusion Framework
Smart WSN Data Fusion and Mining
Context Aware Reasoning Module
Wireless Communication for in-Vehicle Use
Tamper-Proof and Ruggedized Hardware
Smart Integration Platform
Scalability of Wireless Building Networks
RT Protocol
Security and Authentication
Multi-Standard RF Wired Sensor Network Gateways and Protocols
Spectrum Coordination for In-Vehicle Wireless Communications
Plug and Play and Forget for WSN
Smart Energy Management and Harvesting
Smart Power Supply
Highly Robust and Reliable Wireless
Synchronization of WSN
Functional Safety
Knowledge-Oriented Sensor Networks
WS Communication Homogenization with the IP
Localisation of Sensors and Actuators
Indoor Positioning Platform for Building Automation
WSN Self-Configuration
Resilience
DEWI Wireless Range
Bi-Directional Communication
9.10. Coexistence
9.11. Packet Oriented Protocol
9.12. WSN Model
9.15. Time Stamp
9.18. Node Energy Management
9.19. Scalability of Solutions
9.20. General Ontology Definition
9.21. Data Access Interfaces and Node Abstraction
9.22. Robust Operation
9.24. OTA Programming
9.25. Node Identification
10. Use-Case Mapping
11. Mapping to Other Architectures
Findings
12. Conclusions and Future Work
Full Text
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