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Design and implementation of a CoAP-based light-weight smart ward information system
Chen, Chun Yen
Liao, Chun Feng
Chen, Chun Yen
Internet of things
|Issue Date:||2017-07-11 12:21:48 (UTC+8)|
|Abstract:||物聯網應用服務通常建構於分散式且包含許多異質裝置的環境下。其中，服務的提供是透過機器與機器的資訊交流技術來達成，任何裝置都可以做為感測器節點，並透過無線傳輸技術來傳送資料並進行監測。本研究以藍芽低功耗傳輸技術與 CoAP 物聯網通訊協定為基礎，設計輕量級智慧病房即時資訊系統，並據以提出一個具擴充性的智慧病房即時資訊系統架構，透過此架構，感測節點可建立連動機制，並使用資料可視覺化網頁，提供護理人員能主動更換點滴、建立更安全的醫療環境，達到智慧病房的功效。為驗證系統，本文以蒐集並主動通知護理人員病房點滴狀態為例實作一個示範系統，並以此系統進行效能實驗，以驗證構想之可行性。|
Generally speaking, the application services of the Internet of Things is constructed in a distributed environment typically include many various devices. In such environments, the provision of service is achieved through the information exchange mechanism among smart devices, which are sensor nodes monitoring and sending data via wireless transmission infrastructure. Based on BLE (Bluetooth Low Energy) and CoAP, this research proposes an architecture for the lightweight smart ward information system. Based on this system architecture, new sensor modules can join the system dynamically. The collected data can be visualized on the web page so that the nursing staffs can adjust the intervention more effectively. To evaluate the proposed system architecture, we also implement a prototype based on the design and then test its performance. The main function of this prototype is to inform the nursing staff of the situation of intravenous infusions voluntarily by collecting the data of intravenous injection or the weight of the blood bags from the sensor modules.
|Reference:|| M. Weiser (1991), "The computer for the 21st century," Scientific american, vol. 265, pp. 94-104.|
 Upkar Varshney, "PERVASIVE HEALTHCARE COMPUTING:EMR/EHR, WIRELESS and HEALTH MONITORING," Georgia State University, 2009. pp. 9-13.
 M. M. Hassan, H. S. Albakr, and H. Al-Dossari,"A cloud-assisted internet of things framework for pervasive healthcare in smart city environment,"in Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities. ACM, 2014, pp. 9–13.
 S. Poorejbari and H. Vahdat-Nejad,"An introduction to cloud-based pervasive healthcare systems, " in Proceedings of the 3rd International Conference on Context-Aware Systems and Applications. ICST (Institute for Computer Sciences,Social-Informatics and Telecommunications Engineering),2014, pp. 173–178.
 S. Nikolidakis, V. Giotsas, D. Vergados, and C. Douligeris, "A mobile healthcare system using ims and the hl7 framework, " in Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems.ACM, 2009, pp. 187–188.
 A. Coronato and G. D. Pietro, "Formal specification of wireless and pervasive healthcare applications,"ACM Transactions on Embedded Computing Systems (TECS), vol. 10, no. 1, p. 12, 2010.
 H. Lee, K. Park, B. Lee, J. Choi, and R. Elmasri, "Issues in data fusion for healthcare monitoring,"in Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments. ACM, 2008, p. 3.
 S. Wagner, F. O. Hansen, C. F. Pedersen, M. Mathissen, and C. Nielsen, "Carestore platform
for seamless deployment of ambient assisted living applications and devices, " in Pervasive
Computing Technologies for Healthcare (PervasiveHealth), 2013 7th International Conference
on. IEEE, 2013, pp. 240–243.
 A. Ukil, S. Bandyopadhyay, A. Bhattacharyya, and A. Pal, "Lightweight security scheme for vehicle tracking system using coap," in Proceedings of the International Workshop on Adaptive Security.ACM, 2013, p. 3.
 M. Kovatsch, "Coap for the web of things:from tiny resource-constrained devices to the web browser, " in Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. ACM, 2013, pp. 1495–1504.
 A. Betzler, C. Gomez, and I. Demirkol, "Evaluation of advanced congestion control mechanisms for unreliable coap communications," in Proceedings of the 12th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks. ACM, 2015, pp. 63–70.
 M. Gupta, V. Patchava, and V. Menezes, "Healthcare based on iot using raspberry pi," in Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on. IEEE, 2015, pp. 796–799.
 “A node.js module for implementing ble (bluetooth low energy) peripherals,” (Date last accessed 16-May-2016). [Online]. Available: https://github.com/sandeepmistry/bleno
 “A node.js ble (bluetooth low energy) central module,” (Date last accessed 16-May2016). [Online]. Available: https://github.com/ sandeepmistry/noble
 “A msgpack v5 implementation for node.js and the browser, with extension point support.” [Online].Available: https://github.com/mcollina/msgpack5
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