Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks

Fan, Xiaoliang; Huang, Hao; Qi, Shipeng; Luo, Xincheng; Zeng, Jing; Xie, Qubo; Xie, Changsheng

doi:10.3390/s151229797

Cited by 16 publications

(7 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[82] and [83] elucidate the functions of the sensing plane, cloud plane, and application plane respectively and capitalize on smart living and smart space as a qualitative use case. With increasing pressures on city resources as a motivation, smart city data ecosystems embrace environment of diversified hierarchies and cultures.…”

Section: Dynamic Resource Provisioning For Cps In Edge Computingmentioning

confidence: 99%

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

View full text Add to dashboard Cite

Cyber-Physical Systems(CPS) serves as an interdisciplinary effort that incorporates cyber vector as well as physical vector. The latter can generate exponentially growing amounts of data. How to process CPS big data systematically and efficiently is the key to the breakthrough of offering prospective and personalized services for each individual user and entity involved. In recent years, much research has been proactively conducted on advancing specific scenario or algorithm. However, few surveys value their integration. For good measure, the synthesis remains a fundamental challenge. Subsequently, we fill the gap in the literature by constructing cloud computing, fog computing and edge computing as a whole to inspire on new architectures and cross utilizations. Moreover, bringing the enthusiasm of traditionally solitude entities into play is crucial. In this exploratory study, we examine definitions of CPS as well as the three aforementioned computing paradigms and then shed new light on comprehensively established frameworks. We also survey on the application level of Cloud-Fog-Edge Computing in CPS respectively and dive into diversified algorithms and strategies to embed big data applications into a more intelligent and convenient society with current deficiencies and future research directions followed.

show abstract

Section: Dynamic Resource Provisioning For Cps In Edge Computingmentioning

confidence: 99%

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Zhang

et al. 2020

J Cloud Comp

View full text Add to dashboard Cite

show abstract

“…Moreover, it enables the elderly and patients to live in a comfortable home instead of expensive and limited medical facilities by continually monitoring their health information and providing real-time feedback [7]. Systems that measure the use of goods and environmental data occurring at home [8][9][10][11][12][13] use sensor devices installed in home spaces and WSNs based on radio frequency (RF), Zigbee, and other technologies.…”

Section: Smart Home Researchmentioning

confidence: 99%

Edge Computing-Based Self-Organized Device Network for Awareness Activities of Daily Living in the Home

2020

View full text Add to dashboard Cite

Activities of daily living (ADL) are important indicators for awareness of brain health in the elderly, and hospitals use ADL as a standard test for diagnosing chronic brain diseases such as dementia. However, since it is difficult to judge real-life ADL in hospitals, doctors typically predict ADL ability through interviews with patients or accompanying caregivers. Recently, many studies have attempted to diagnose accurate brain health by collecting and analyzing the real-life ADL of patients in their living environments. However, most of these were conducted by constructing and implementing expensive smart homes with the concept of centralized computing, and ADL data were collected from simple data about patients’ home appliance usage and the surrounding environment. Despite the high cost of building a smart home, the collected ADL data are inadequate for predicting accurate brain health. In this study, we developed and used three types of portable devices (wearable, tag, and stationary) that can be easily installed and operated in typical existing houses. We propose a self-organized device network structure based on edge computing that can perform user perception, location perception, and behavioral perception simultaneously. This approach enables us to collect user activity data, analyze ADL in real-time to determine if the user’s behavior was successful or abnormal, and record the physical ability of the user to move between fixed spaces. The characteristics of this proposed system enable us to distinguish patients from other family members and provide real-time notifications after a forgetful or mistaken action. We implemented devices that constitute the edge network of the smart home scenario and evaluated the performance of this system to verify its usefulness.

show abstract

“…Video surveillance over the Internet is a real-time service that applies to very varied environments (underwater [ 4 ], Smart City [ 5 , 6 , 7 ], and Ambient Assisted Living for Smart Home [ 8 , 9 , 10 ] among others). We focus on Smart Home video surveillance assisted by sensors.…”

Section: Introductionmentioning

confidence: 99%

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Gualotuña

Macías

Suárez

et al. 2018

Sensors

View full text Add to dashboard Cite

Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies). Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging), and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system.

show abstract

Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks

Cited by 16 publications

References 34 publications

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Edge Computing-Based Self-Organized Device Network for Awareness Activities of Daily Living in the Home

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Contact Info

Product

Resources

About