Abstract:Manufacturing environments are characterized by a multitude of heterogeneous devices, networks, specific protocols and applications. Therefore, static structures, close coupling and vendor-specific solutions have been established over decades. To increase flexibility and interoperability we introduce a service-oriented middleware approach in form of an integration layer between shopfloor equipment and enterprise applications. The integration layer addresses the actual capabilities and data flows on the field a… Show more
“…Efficient handling of large volumes of data and high communication loads 9. Secure communication and operations 10. Support for QoS requirements…”
Section: Resultsmentioning
confidence: 99%
“…In [10] an SOA-based middleware for manufacturing systems (SOA-MM) in the form of an integration layer between the shop floor equipment and the enterprise applications is presented. The middleware addresses service granularity, physical distribution and degree of coupling individually.…”
While Wireless Sensor Networks (WSN) are starting to become more popular and used for many applications, developing these applications is still not a trivial task due to many technical challenges such as limited hardware capabilities, communication, and energy resources; high heterogeneity; security; and quality of service (QoS) issues. Recently ServiceOriented Middleware (SOM) has become a preferred platform for developing WSN applications over the more traditional development platforms to help address these challenges. SOM logically views WSN as a service provider for user applications. The SOM provides abstractions for the complex underlying WSN infrastructure through a set of services needed by the WSN applications. These services can be data aggregation, adaptation, security, self-organization, reliability, and management services. This paper surveys the current SOM solutions for WSN. The paper discusses the trends and challenges of designing and developing these solutions for WSN.
“…Efficient handling of large volumes of data and high communication loads 9. Secure communication and operations 10. Support for QoS requirements…”
Section: Resultsmentioning
confidence: 99%
“…In [10] an SOA-based middleware for manufacturing systems (SOA-MM) in the form of an integration layer between the shop floor equipment and the enterprise applications is presented. The middleware addresses service granularity, physical distribution and degree of coupling individually.…”
While Wireless Sensor Networks (WSN) are starting to become more popular and used for many applications, developing these applications is still not a trivial task due to many technical challenges such as limited hardware capabilities, communication, and energy resources; high heterogeneity; security; and quality of service (QoS) issues. Recently ServiceOriented Middleware (SOM) has become a preferred platform for developing WSN applications over the more traditional development platforms to help address these challenges. SOM logically views WSN as a service provider for user applications. The SOM provides abstractions for the complex underlying WSN infrastructure through a set of services needed by the WSN applications. These services can be data aggregation, adaptation, security, self-organization, reliability, and management services. This paper surveys the current SOM solutions for WSN. The paper discusses the trends and challenges of designing and developing these solutions for WSN.
“…This approach has already been proven to simplify the implementation and operations of a number of industrial domains in SOC [7]. It was used for wireless sensor networks [33], telecommunications [34], manufacturing [35], collaborative workflow systems [36], business process applications [37], and distributed monitoring and control systems [38]. The approach was used in these domains to reduce the effort and cost of development, testing, and operations.…”
For a while, UAV (Unmanned Arial Vehicles) use was limited to military applications, however recently UAVs are also used for a wide range of civilian applications. Some of the UAV applications may involve multiple UAVs that must cooperate to achieve a common task. This kind of applications is termed collaborative UAV applications. One of the main issues for multiple UAVs is developing an effective framework to enable the development of software systems for collaborative UAV operations. One possible approach is to rely on serviceoriented computing and service-oriented middleware technologies to simplify the development and operations of such applications. This paper discusses the challenges of developing collaborative UAV applications and how the service-oriented middleware approach can help resolve some of these challenges. The paper also investigates the collaborative aspects of multiple UAVs and proposes a service-oriented middleware architecture that can satisfy the development and operations of such applications.
“…In [24] an SOA-based middleware for manufacturing systems (SOA-MM) in the form of an integration layer between the shop floor equipment and the enterprise applications is presented. The layer addresses service granularity, physical distribution, and degree of coupling individually.…”
Wireless sensor networks (WSN) are used for many applications such as environmental monitoring, infrastructure security, healthcare applications, and traffic control. The design and development of such applications must address many challenges dictated by WSN characteristics on one hand and the targeted applications on the other. One of the emerging approaches used for relaxing these challenges is using service-oriented middleware (SOM). Service-oriented computing, in general, aims to make services available and easily accessible through standardized models and protocols without having to worry about the underlying infrastructures, development models, or implementation details. SOM could play an important role in facilitating the design, development, and implementation of service-oriented systems. This will help achieve interoperability, loose coupling, and heterogeneity support. Furthermore, SOM approaches will provision non-functional requirements like scalability, reliability, flexibility, and Quality of Service (QoS) assurance. This paper surveys the current work in SOM and the trends and challenges to be addressed when designing and developing these solutions for WSN.
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