Deployment of an autonomic home energy management system

O'Sullivan, Tadhg; Muldoon, Conor; Xu, Lina; O’Grady, Michael J.; O’Hare, Gregory M. P.

doi:10.1109/isce.2014.6884478

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…54,55 Additionally, it has been used as a framework for citizen sensing, leveraging the ubiquity of modern smartphones and wearables to provide detailed observations of remote physical locations. One such scenario is WAIST, 53 which utilizes wireless sensor network technology in the detection of illegal waste disposal during transit.…”

Section: Evaluation and Future Workmentioning

confidence: 99%

“…SIXTH has also been used as a data provider and reconfiguration engine in two home energy management systems. 54,55 Additionally, it has been used as a framework for citizen sensing, leveraging the ubiquity of modern smartphones and wearables to provide detailed observations of remote physical locations. 56 The third evaluation focus is on code quality metrics and user evaluations.…”

Section: Evaluation and Future Workmentioning

confidence: 99%

“…Herein, SIXTH acts as the data provider for the reasoning engine, which detects anomalous movement of waste materials to provide an indication of improper disposal. SIXTH has also been used as a data provider and reconfiguration engine in two home energy management systems . Additionally, it has been used as a framework for citizen sensing, leveraging the ubiquity of modern smartphones and wearables to provide detailed observations of remote physical locations …”

Section: Evaluation and Future Workmentioning

confidence: 99%

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Semantic network management for next‐generation networks

Matheus¹,

Boran²,

Carr

et al. 2018

Computational Intelligence

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To accommodate the proliferation of heterogeneous network models and protocols, the use of semantic technologies to enable an abstract treatment of networks is proposed. Network adapters are employed to lift network specific data into a semantic representation. Semantic reasoning integrates the disparate network models and protocols into a common data model by making intelligent inferences from low-level network and device details. Automatic discovery of new devices, monitoring of device state, and invocation of device actions in a generic fashion that is agnostic of network types is enabled. A prototype system called SNoMAC is described that employs the proposed approach operating over UPnP, TR-069, and heterogeneous sensors. These sensors are integrated by means of a sensor middleware named SIXTH that augments the capabilities of SNoMAC to allow for intelligent management and configuration of a wide variety of sensor devices. A major benefit of this approach is that the addition of new models, protocols, or sensor types merely involves the development of a new network adapter based on an ontology. Additionally, the semantic representation of the network and associated data allows for a variety of client interfaces to facilitate human input to the management and monitoring of the system.By the year 2021, the Internet of Things (IoT) is expected to encompass 3.5 times as many connected devices as there are people on Earth. 1 In addition to the sheer volume of devices, there is the added complexity of dealing with the unchecked proliferation of new network data models and protocols. To deal with these issues, network and active media applications will not only require high performance and scalability but will also need the means for quickly and dynamically evolving to accommodate the changing universe of devices. Doing this effectively necessitates a new approach for integrating network models and protocols that facilitates the intelligent management of devices across layers and at various levels of abstraction. This allows devices to be handled generically as collections while maintaining the specifics necessary to monitor and control them individually. This paper advocates an approach to solving this problem that leverages the benefits afforded by semantic web technologies, combined with the advantages of intelligent middleware. This automates much of the organization and integration of heterogeneous devices and provides a platform upon which a wide variety of applications can be built.Semantic web technologies enable the definition of formal data models called "ontologies" that provide a number of conceptual and computational benefits. This includes data model alignment, heterogeneous data integration, built-in data abstraction mechanisms, automated inferencing, dynamic meta-modeling, and automatic consistency checking. These ontologies form the base upon which semantic tools such as SPARQL, 2 SWRL, 3 and OWL, 4 or a hybrid of these, can make intelligent inferences about both devices themselves and their networ...

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Section: Evaluation and Future Workmentioning

confidence: 99%