Power-managed smart lighting using a semantic interoperability architecture

Bhardwaj,; Syed,; Ozcelebi,; Lukkien,

doi:10.1109/icce.2011.5722848

Cited by 8 publications

(12 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The GWKP sends OSAS messages (light actuation commands) to the ANs in the low priority room. The specific AN hardware that we use [7] can update the luminary attached to it every 33ms. 6.…”

Section: Experimental Scenario and Resultsmentioning

confidence: 99%

“…We consider a scenario of power managed smart lighting [7] for experiments. The scenario is divided into two rooms with different priorities, called low priority room and high priority room, which are for low and high priority user activities, respectively.…”

Section: Experimental Scenario and Resultsmentioning

confidence: 99%

“…The semantic interoperability system architecture introduced by [7] is as shown in Fig. 1, where a number of producer KPs, consumer KPs join a SIB to form a smart space.…”

Section: Semantic Interoperability Architecturementioning

confidence: 99%

“…Transmission and processing delays are analyzed on individual links and devices to identify bottlenecks and recipes for better application performance. Our experiments carried out in a power-managed smart lighting system [7] show that the worst case end-to-end delay that must be taken into account for stable system behavior can be in the order of hundreds of milliseconds.…”

Section: Introductionmentioning

confidence: 99%

“…This enables mashing-up and integration of information across all applications spanning from the embedded domain to Internet. Further studies and implementations of semantic interoperability between low and high capacity nodes are given in [6][7]. In [7], communication across different network platforms is achieved through wireless and wired communication protocols such as TCP/IP and IEEE 802.15.4 [8].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Delay Performance in a Semantic Interoperability Architecture

Bhardwaj

Özçelebi

Verhoeven

et al. 2011

2011 IEEE/IPSJ International Symposium on Applications and the Internet

Self Cite

View full text Add to dashboard Cite

Abstract-A semantic interoperability architecture typically consists of collaborating heterogeneous networks and devices with different availability of resources such as bandwidth, processing power, memory, storage and energy. Due to utilization of ontology based information representation and communication formats, a gateway approach for achieving semantic interoperability becomes complex and may require long processing times. Especially when the constraints on acceptable response times in services with user interaction are considered, the end-to-end delay becomes an important performance criterion. In this paper, we make an analysis of the processing delay per device and the transmission delay per hop in a heterogeneous smart network. We identify the processes and the transmission links that dominate the end-toend delay based on our experiments on a power-managed smart lighting scenario.Keywords-end-to-end delay; heterogeneous networks; knowledge processor; smart space; smart lighting; semantic information broker ; and semantic interoperability.

show abstract

“…The GWKP sends OSAS messages (light actuation commands) to the ANs in the low priority room. The specific AN hardware that we use [7] can update the luminary attached to it every 33ms. 6.…”

Section: Experimental Scenario and Resultsmentioning

confidence: 99%

Section: Experimental Scenario and Resultsmentioning

confidence: 99%

“…The semantic interoperability system architecture introduced by [7] is as shown in Fig. 1, where a number of producer KPs, consumer KPs join a SIB to form a smart space.…”

Section: Semantic Interoperability Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Delay Performance in a Semantic Interoperability Architecture

Bhardwaj

Özçelebi

Verhoeven

et al. 2011

2011 IEEE/IPSJ International Symposium on Applications and the Internet

Self Cite

View full text Add to dashboard Cite

show abstract

A survey on the development status and application prospects of knowledge graph in smart grids

Jian

Wang

et al. 2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between concepts and entities in the objective world, which is widely concerned because of its robust knowledge inference ability. Especially with the proliferation of measurement devices and exponential growth of electric power data empowers, electric power knowledge graph provides new opportunities to solve the contradictions between the massive power resources and the continuously increasing demands for intelligent applications. In an attempt to fulfil the potential of knowledge graph and deal with the various challenges faced, as well as to obtain insights to achieve business applications of smart grids, this work first presents a holistic study of knowledge-driven intelligent application integration. Specifically, a detailed overview of electric power knowledge mining is provided. Then, the overview of the knowledge graph in smart grids is introduced. Moreover, the architecture of the big knowledge graph platform for smart grids and critical technologies are described. Furthermore, this paper comprehensively elaborates on the application prospects leveraged by knowledge graph oriented to smart grids, power consumer service, decision-making in dispatching, and operation and maintenance of power equipment. Finally, issues and challenges are summarised.

show abstract

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

View full text Add to dashboard Cite

Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

show abstract

Power-managed smart lighting using a semantic interoperability architecture

Cited by 8 publications

References 5 publications

Delay Performance in a Semantic Interoperability Architecture

Delay Performance in a Semantic Interoperability Architecture

A survey on the development status and application prospects of knowledge graph in smart grids

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

Contact Info

Product

Resources

About