Design and evaluation of an ambient intelligence testbed for improving quality of life Online publication date: Fri, 12-May-2017
by Ryoichiro Obukata; Miralda Cuka; Donald Elmazi; Tetsuya Oda; Makoto Ikeda; Leonard Barolli
International Journal of Space-Based and Situated Computing (IJSSC), Vol. 7, No. 1, 2017
Abstract: Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we present the design and implementation of a testbed for AmI using Raspberry Pi mounted on Raspbian OS. We analyse the optimised link state routing (OLSR) and wired equivalent privacy (WEP) protocol in an indoor scenario, and mean shift clustering algorithm considering sensing data. For evaluation we considered throughput, delay and jitter metrics, and respiratory rate and heart rate metrics. The experimental and simulation results show that the nodes in the testbed were communicating smoothly and the mean shift clustering algorithm have a good performance.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Space-Based and Situated Computing (IJSSC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook