Wireless sensor network based smart home: Sensor selection, deployment and monitoring

Basu, Debraj; Moretti, Giovanni; Gupta, Gourab Sen; Marsland, Stephen

doi:10.1109/sas.2013.6493555

Cited by 71 publications

(30 citation statements)

References 2 publications

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“…Debraj et al [31] proposed a system that can monitor and survey residents according to information collected from WNS in the smart home environment. They installed various sensors at home where actual residents live to monitor their behaviors through smart home sensors and to collect information for six months.…”

Section: Previous Studies On Smart Homesmentioning

confidence: 99%

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

et al. 2017

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Abstract:As the Internet of Things (IoT) has developed, the emerging sensor network (ESN) that integrates emerging technologies, such as autonomous driving, cyber-physical systems, mobile nodes, and existing sensor networks has been in the limelight. Smart homes have been researched and developed by various companies and organizations. Emerging sensor networks have some issues of providing secure service according to a new environment, such as a smart home, and the problems of low power and low-computing capacity for the sensor that previous sensor networks were equipped with. This study classifies various sensors used in smart homes into three classes and contains the hierarchical topology for efficient communication. In addition, a scheme for establishing secure communication among sensors based on physical unclonable functions (PUFs) that cannot be physically cloned is suggested in regard to the sensor's low performance. In addition, we analyzed this scheme by conducting security and performance evaluations proving to constitute secure channels while consuming fewer resources. We believe that our scheme can provide secure communication by using fewer resources in a smart home environment in the future.

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Section: Previous Studies On Smart Homesmentioning

confidence: 99%

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

et al. 2017

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“…Virtually all appliances in our homes, business, and schools are equipped with one or more sensors. Networks of sensors are used in a wide variety of applications, spanning home and medical monitoring [2], military applications [15], and environmental management [7]. Just as the human body is a network of organs, it is also a network of sensors.…”

Section: Sensors and Sensor Networkmentioning

confidence: 99%

Serious toys

Feaster

Ali

Zhai

et al. 2014

Proceedings of the 2014 Conference on Innovation &Amp; Technology in Computer Science Education - ITiCSE '14

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Computational thinking represents a collection of structured problem solving skills that cross-cut educational disciplines. There is significant future value in introducing these skills as early as practical in students' academic careers. Over the past three years, we have developed, piloted, and evaluated a series of K-12 outreach modules designed to introduce fundamental computing concepts. We piloted two modules with more than 340 students, and evaluation results show that the modules are having a positive impact. We combined the two previously piloted modules with a newly developed module and piloted the combined program with over 170 students. Evaluation results again show that the combination

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“…Hence, health professionals can have a reduction in workload and devote their attention to important aspects of patient care. The automatic monitoring of people could help on identifying irregularities in therapies and optimize the work time of health professionals, which have his attention divided by several patients [10].…”

Section: Introductionmentioning

confidence: 99%

NuSense: A Sensor-Based Framework for Ambient Awareness applied in Game Therapy Monitoring

Costa¹,

Paiva²,

Menezes³

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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-the usage of technologies for the treatment of patients is constantly emerging. A recent trend is the usage of games for healthcare, mainly in motor rehabilitation. The entertainment facet of the game attracts the attention of patients making them more engaged in the treatment. A difficult in the usage of commercial games is that they require full attention of the healthcare professionals, since they were not created to this purpose. To contour this kind of situation, decreasing the attention demanded by healthcare professionals, tailor-made games with monitoring capabilities have been developed. The problem with this approach is that these games falls short of entertainment, compromising their playfulness. Given this scenario, we believe that by adding monitoring capabilities to environments in which commercial games are used for health treatment is the best approach for game therapy. Therefore, it is necessary to create a mechanism that helps developers on building applications to monitoring patients' pre-determined characteristics during a gameplay. In this paper, we propose the NuSense, a sensor-based framework to support the development of applications to automatically monitoring people while they are playing electronic games as a health therapy.

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Wireless sensor network based smart home: Sensor selection, deployment and monitoring

Cited by 71 publications

References 2 publications

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

An Efficient Secure Scheme Based on Hierarchical Topology in the Smart Home Environment

Serious toys

NuSense: A Sensor-Based Framework for Ambient Awareness applied in Game Therapy Monitoring

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