Dynamic Service Synthesis and Switching for Medical IoT and Ambient Assisted Living

被引:0
作者
Yunge, Daniel [1 ]
Park, Sangyoung [1 ]
Kindt, Philipp [1 ]
Pravadelli, Graziano [2 ]
Chakraborty, Samarjit [1 ]
机构
[1] Tech Univ Munich, D-80290 Munich, Germany
[2] Univ Verona, I-37100 Verona, Italy
来源
2016 IEEE INTERNATIONAL HIGH LEVEL DESIGN VALIDATION AND TEST WORKSHOP (HLDVT) | 2016年
关键词
Ambient Assisted Living; Cyber-Physical Systems; Automatic Synthesis; Wireless Sensor Networks;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the Internet of Things (IoT), our surrounding will include a large variety of devices from different manufacturers. One of its promising branches, the medical IoT, will also be accompanied by heterogeneous smart-home infrastructures. However, the efficacy of a medical IoT application will depend on how well the surrounding smart devices collaborate with it to serve the individual needs of the users. Pre-programmed solutions lack flexibility to adapt to each need and environment, and fail to make full use of the capabilities of a set of smart devices. In this paper, we propose a concept based on the flexible and user-friendly synthesis and switching of services for medical IoT applications. The crux of the concept is to provide a methodology in which non-experts can dynamically define services based on their needs. We describe a potential scenario, discuss the associated challenges, and present preliminary results on the feasibility of this approach. Particularly, we focus on design aspects for realizing the concept and propose the use of interpreters on the smart devices as alternative solution. We show that such an approach is feasible in terms of implementation and energy consumption while still maintaining the full flexibility of the service synthesis.
引用
收藏
页码:79 / 84
页数:6
相关论文
共 17 条
[1]  
Brouwers N., 2009, P 7 ACM C EMB NETW S
[2]  
Dohr A., 2010, INTERNET THINGS AMBI
[3]  
Drechsler R., 2012, SPECIFICATION DESIGN
[4]  
Jara A. J., 2011, PERSONAL UBIQUITOUS
[5]  
Kindt P., 2016, PERS IND MOB RAD COM
[6]   Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease [J].
Klucken, Jochen ;
Barth, Jens ;
Kugler, Patrick ;
Schlachetzki, Johannes ;
Henze, Thore ;
Marxreiter, Franz ;
Kohl, Zacharias ;
Steidl, Ralph ;
Hornegger, Joachim ;
Eskofier, Bjoern ;
Winkler, Juergen .
PLOS ONE, 2013, 8 (02)
[7]  
Kovatsch Matthias, 2012, INN MOB INT SERV UB
[8]  
Levis P., 2005, P 2 C S NETW SYST DE
[9]  
Mueller R., 2007, P 2007 ACM SIGMOD IN
[10]  
Nastic Stefan, 2014, FUT INT THINGS CLOUD