Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design
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...
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| Format: | Article |
| Language: | English |
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Wiley
2015-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/196280 |
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| author | Shinil Suh Byung-Seo Kim Jae Hee Chung |
| author_facet | Shinil Suh Byung-Seo Kim Jae Hee Chung |
| author_sort | Shinil Suh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5e0310c311eb4b3cabdbdc6acb994f9e |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-5e0310c311eb4b3cabdbdc6acb994f9e2025-02-03T05:48:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-09-011110.1155/2015/196280196280Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing DesignShinil Suh0Byung-Seo Kim1Jae Hee Chung2 Graduate School of Smart City Science Management, Hongik University, Sejong 30016, Republic of Korea Department of Computer and Info. Commun. Eng., Hongik University, Sejong 30016, Republic of Korea Department of Architecture, Hongik University, Sejong 30016, Republic of KoreaAs 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.https://doi.org/10.1155/2015/196280 |
| spellingShingle | Shinil Suh Byung-Seo Kim Jae Hee Chung Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design International Journal of Distributed Sensor Networks |
| title | Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design |
| title_full | Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design |
| title_fullStr | Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design |
| title_full_unstemmed | Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design |
| title_short | Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design |
| title_sort | convergence research directions in cognitive sensor networks for elderly housing design |
| url | https://doi.org/10.1155/2015/196280 |
| work_keys_str_mv | AT shinilsuh convergenceresearchdirectionsincognitivesensornetworksforelderlyhousingdesign AT byungseokim convergenceresearchdirectionsincognitivesensornetworksforelderlyhousingdesign AT jaeheechung convergenceresearchdirectionsincognitivesensornetworksforelderlyhousingdesign |