Data Distribution Service (DDS) based implementation of Smart grid devices using ANSI C12.19 standard

Almadani, Basem; Argani, Hassan

doi:10.1016/j.procs.2017.06.082

Cited by 17 publications

(2 citation statements)

References 9 publications

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“…Managing the QoS policies in DDS is a complex task due to several factors. For instance, different QoS policies are tightly coupled, which means controlling a policy might affect other policies [34]. Additionally, understanding the behavior of each policy is a key aspect in adopting any QoS policy [35].…”

Section: Dds Qos Management Layermentioning

confidence: 99%

Formalizing the Semantics of DDS QoS Policies for Improved Communications in Distributed Smart Grid Applications

Alaerjan

2023

Electronics

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Quality communication is a major challenges in large-scale and distributed smart grid applications. Several protocols and middleware have been proposed to address communication quality issues in those applications. DDS is a standard data-centric middleware for publish/subscribe communication. It has been proposed for smart grid to address both connectivity and communication quality issues. DDS provides multiple quality of service (QoS) policies to address reliability, latency, and data availability. One of the main challenges in adopting the standard in smart grids is the complexity of adopting and tailoring its QoS policies. This is because those policies are described informally introducing ambiguities, which hinders the precise implementation of DDS. To address this, we formalize the descriptions of DDS QoS policies using the object constraint language (OCL). We also clearly defined the design structural relations among DDS entities and QoS policies. In the process, we analyzed the dependencies among QoS policies and we built clear and concise structural relations. We then proposed feature modeling and a management layer to facilitate QoS tuning and to reduce development and configuration complexity. We implemented the proposed approach in a simulated power consumption domain. The results show that the approach improves the development process. They also show that the approach significantly improves the performance of DDS-enabled applications.

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Section: Dds Qos Management Layermentioning

confidence: 99%

Formalizing the Semantics of DDS QoS Policies for Improved Communications in Distributed Smart Grid Applications

Alaerjan

2023

Electronics

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“…In [43], researchers have devised a prototype that acts as a proxy for using the ANSI C12.19 implementation over DDS. The authors use an interface definition language (IDL) that utilizes two topics: (a) an electric element IDL definition and (b) a utility element IDL definition [43]. However, this approach is limited to smart grid applications.…”

Section: A Interoperabilitymentioning

confidence: 99%

Investigating Messaging Protocols for the Internet of Things (IoT)

et al. 2020

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As the number of Internet of Things (IoT) devices proliferates, the magnitude and velocity of data continues to increase rapidly. IoT systems rely primarily on using messaging protocols for exchanging IoT data and there exists several protocols or frameworks that support distinct types of messaging patterns. Given that IoT devices typically have limited computational resources and processing power, choosing a lightweight, reliable, scalable, interoperable, extensible and secure messaging protocol becomes a very challenging task. As a result, it is not uncommon that IoT systems may employ multiple messaging protocols for supporting device heterogeneity and different message exchange patterns. In addition, basic similarities among existing several messaging protocols or frameworks that exist today for exchanging IoT data within IoT systems suggest the potential of interoperability. Given that IoT systems help facilitate the interconnectivity among distributed, heterogeneous entities, interoperability among existing messaging protocols will play an increasingly important role in simplifying the development and deployment of IoT systems. In this paper, we present a comprehensive review of the existing messaging protocols that can be used in deploying IoT systems. Throughout this paper, we highlight the protocols' distinctive approaches and applicability of using them across various IoT environments. In addition, we highlight challenges, strengths and weaknesses of these messaging protocols in the context of IoT.

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Using Data Distribution Service for IEEE 11073-10207 Medical Device Communication

Baake¹,

Ingenerf

Andersen

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Data Distribution Service (DDS) based implementation of Smart grid devices using ANSI C12.19 standard

Cited by 17 publications

References 9 publications

Formalizing the Semantics of DDS QoS Policies for Improved Communications in Distributed Smart Grid Applications

Formalizing the Semantics of DDS QoS Policies for Improved Communications in Distributed Smart Grid Applications

Investigating Messaging Protocols for the Internet of Things (IoT)

Using Data Distribution Service for IEEE 11073-10207 Medical Device Communication

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