Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design

Abstract

As part of resolving the issue related to super-aging society, various information systems for the elderly care have been developed utilizing cognitive sensor networks. However, many sensor network-based systems cognizing radios, resources, environments, and so forth are not practically feasible and useful for the elderly themselves. Therefore, this paper tries to propose novel research directions for designing smart residential environment for the elderly in terms of converging information technologies including cognitive sensor networks and architectural design. In this paper, we clarify the definition of smart home from the literatures and briefly surveys cognitive sensor network-based systems for smart elderly housing. After that, this paper proposes research directions for cognitive wireless sensor networks not only for the elderly smart home services, but also for cooperating with architecture technologies. The proposed directions are to utilize cognitive radio technologies, to classify sensor network technologies according to the types of the elderly, to expand sensor networks services for the elderly housing to the wider area such as blocking unnecessary energy loss, to embed sensor network modules into BIM system, and to research sensor networks fit to modular construction.

Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses

“…Although the basis for smart homes is technology and computer science, research on the environment for older adults is essential as it is directly related to the quality of life. As Suh et al (2015) mentioned, “studies on residential environment for the elderly have not actively been conducted so far” [ 77 ].…”

“…Layton and Steel (2019) suggested that a smart home design should consider built environment, interfaces, and their interaction with residents (disabled and older adults) from an integrated perspective [ 79 ]. Suh et al (2015) presented convergence research of cognitive information technologies in terms of cognitive sensor networks and architectural design for the elderly [ 77 ]. Appropriate funding will facilitate such convergence.…”

“…The author conceptualized the interaction between smart home technology and the environment and verified the role of technology to support “AIP”. Suh et al (2015) pointed out that various elderly care information systems are being developed to solve ultra-aging social problems, but these smart systems are not practical and useful for the elderly themselves [ 77 ].…”

Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review

“…The application of CR sensor networks (CRSNs) was described by Suh et al 19 and Kaur et al 20 Several information systems for elderly care have been developed using cognitive sensor networks to address the dilemma of a super-aging society. However, many sensor-network-based systems that monitor radios, resources, habitats, and other factors are not practical or useful for the elderly.…”

SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

“…Liu, W. Gabran, P. Pawelczak, and D. Cabric [12] present a mathematical analysis of the accuracy of estimating PU's mean duty cycle u, as well as the mean off-and on-times, but the method considers the PU characteristics and sensing problem is not considered. To generalize this part almost similar methods are implemented in all references [13][14][15][16][17][18][19][20]. Nowadays, millions of sensors are entering the market and the world of sensor communication is getting more attention with its problems as explained in our previous work in Kedir et al [21].…”