User-configurable semantic home automation

Kao, Yung-Wei; Yuan, Shyan-Ming

doi:10.1016/j.csi.2011.08.002

Cited by 16 publications

(8 citation statements)

References 34 publications

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“…Context-awareness often provides solution to similar situations by utilizing the context to provide relevant services to the user [19]. In IoT, context-awareness is used to solve many problems in various situations including smart homes [20], smart grids [21], agriculture [22], health care [23], and automated logistics [24].…”

Section: Related Workmentioning

confidence: 99%

A context-aware encryption protocol suite for edge computing-based IoT devices

et al. 2019

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Heterogeneous devices are connected with each other through wireless links within a Cyber Physical System. These devices undergo resource constraints such as battery, bandwidth, memory, and computing power. Moreover, the massive interconnections of these devices result in network latency and reduced speed. Edge computing offers a solution to this problem in which devices transmit the preprocessed actionable data in a formal way resulting in reduced data traffic and improved speed. However, to provide the same level of security to each piece of information is not feasible due to limited resources. In addition, not all the data generated by Internet of Things (IoT) devices require a high level of security. Context-awareness principles can be employed to select an optimal algorithm based on device specifications and required information confidentiality level. For context-awareness, it is essential to consider the dynamic requirements of data confidentiality as well as device available resources. This paper presents a context-aware encryption protocol suite that selects optimal encryption algorithm according to device specifications and the level of data confidentiality. The results presented herein clearly exhibit that the devices were able to save 79% memory consumption, 56% battery consumption and 68% execution time by employing the proposed context-aware encryption protocol suite.

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Section: Related Workmentioning

confidence: 99%

A context-aware encryption protocol suite for edge computing-based IoT devices

et al. 2019

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“…An obvious pain point is the inability of existing middleware to internalize an expressive and complete notion of context, a need that has been identified in both the research community [36] and in the industry [9]. Existing work incorporating context-awareness into IoT-like applications adopts a semantic approach [17], [24], [38], [39], where context-awareness relies on a pre-defined ontology characterizing devices, users, and their relationships. In contrast, providing users seamless experiences requires an approach that does not rely on a user having a priori knowledge about how IoT devices affect the space in which they are located.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…This new state's utility is the default (Line 10) or initialized based on other "nearby" states (Line 11; explained in detail below). Once C t is "contained" in a known state, rIoT will output the action that has the highest utility of all actions and is compatible with the request R (Lines [15][16][17][18]. When receiving feedback from the user, rIoT takes the prior proposal P and the prior context, C t , and updates the local model.…”

Section: B Context Learning In Riotmentioning

confidence: 99%

rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

Hua

Liu

Kalbarczyk

et al. 2019

2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)

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Advances in mobile computing capabilities and an increasing number of Internet of Things (IoT) devices have enriched the possibilities of the IoT but have also increased the cognitive load required of IoT users. Existing context-aware systems provide various levels of automation in the IoT. Many of these systems adaptively take decisions on how to provide services based on assumptions made a priori. The approaches are difficult to personalize to an individual's dynamic environment, and thus today's smart IoT spaces often demand complex and specialized interactions with the user in order to provide tailored services. We propose rIoT, a framework for seamless and personalized automation of human-device interaction in the IoT. rIoT leverages existing technologies to operate across heterogeneous devices and networks to provide a one-stop solution for device interaction in the IoT. We show how rIoT exploits similarities between contexts and employs a decision-tree like method to adaptively capture a user's preferences from a small number of interactions with the IoT space. We measure the performance of rIoT on two realworld data sets and a real mobile device in terms of accuracy, learning speed, and latency in comparison to two state-of-the-art machine learning algorithms.

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“…This approach has been the principal pillar of this particular area in home domotics. Authors like Hu et al [111], Bonino et al [112], Huang et al [113], Kao et al [114] and Abreu et al [115] have proposed several architecture designs based on ontology systems which enable the evolution of the obtained knowledge, and match certain rules in order to determine contexts and scenarios where users may interact. Such a solution requires following the preferences of each user.…”

Section: Intelligent Systems and Ontology-based Domoticsmentioning

confidence: 99%

Towards the Evolution of Smart Home Environments: A Survey

Salazar¹

2016

AUSMT

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Current lifestyles and technologies have inspired new ways to manage home appliances free of restrictions previously imposed by distance and time. So-called home automation technologies allow users to control and schedule common home tasks, often without human intervention. Several types of home automation systems have been proposed and classified according to their functionality, mode of user interaction, scheduling systems and cost-effectiveness. This paper reviews proposals in the smart home field from the last five years, considering both technical and functional aspects. The paper seeks to define automated or smart home systems by identifying common aspects of current such systems.

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User-configurable semantic home automation

Cited by 16 publications

References 34 publications

A context-aware encryption protocol suite for edge computing-based IoT devices

A context-aware encryption protocol suite for edge computing-based IoT devices

rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things

Towards the Evolution of Smart Home Environments: A Survey

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