The communication network providing real-time image sharing between the planning office and the warehouse for supply chain management is presented in this paper. Middleware plays a major role in developing distributed system efficiently for communication between image capturing devices (Vision Node) and image processing node as well as the distributed nodes. The image distribution over the network in real-time manner is useful to numerous logistic applications, such as quality control of pick-and-pack service, planning of cargo and pallet loading, and vehicles tracking. A detail construction of the vision-based network system both with respect to image capturing devices and data transmission has been announced. A gigabit Ethernet network is acting as a backbone of the whole system. The employment of the Network Data Distribution Service (NDDS) for the real-time distributed vision-based network system is discussed and experimental result of the real-time and delay time properties in each part on the network were considered and presented in this paper. Test results show that NDDS is capable of supporting a distributed logistics vision system.

Seaware is a publish-subscribe middleware used in multi-vehicle networked systems composed of autonomous and semi-autonomous vehicles and systems. Seaware provides a high level interface to network communications and may be deployed with a combination of heterogeneous components within a dynamic network. Seaware supports the RTPS (Real Time Publish Subscribe) protocol, underwater acoustic modems and other forms of network transport. This paper gives an overview of Seaware's implementation and its application to multi-vehicle networked sysems.

Designing and constructing Real-Time Distributed Industrial Vision Systems (RT-DIVS) from scratch is very complicated task. RT-DIVS has Conflicting requirements such as reasonable development cost, ease of use, reusable code and high performance. The success key in building such systems is to recognize the need for middleware software. Middleware plays a major role in developing distributed systems efficiently.

Real-Time Publish-Subscribe (RTPS) model is one of the latest developments in Real-Time middleware technologies. Network Data Distribution Service (NDDS) is RTPS middleware developed by Real-Time Innovation (RTI). NDDS is widely used in Real-Time distributed and embedded systems for mission critical applications. The research work presented in this paper discusses the employment of NDDS for RT-DIVS and the advantages of NDDS’s Quality of Service (QoS) policies in covering the requirements of RTDIVS.

An experimental test set-up is used to verify the NDDS’s performance for RT-DIVS. Tests results show that RTPS middleware (and NDDS specifically) is suitable for soft and firm timelines requirements for distributed industrial vision systems.

Modern military satellite communications terminals have typically been built as multiprocessor systems. Because of increasing pressure for reuse and modularity, current programs have been encouraged to consider the use of component middleware. While Common Object Request Broker Architecture is the most mature middleware standard available, its invocation semantics present considerable challenges for the development of such systems. Through reasoning about quality attributes, we found that a real-time publish-subscribe middleware reduces coupling, improves composability, and reduces the risk of architectural mismatch, deadlock, and integration problems compared to an invocation based system. In building a communications-on-the-move (COTM) node, we found that this type of middleware, which exemplifies an implicit-invocation architectural style, promotes ease of system evolution and an incremental integration approach.

This paper discusses the applicability of DDS for the development of automated and modular manufacturing systems which require a flexible and robust communication infrastructure.

Introduces the goals behind the creation of the DDS standard and the communication patterns it supports. In addition it also provides a description of some of the QoS supported by DDS.