CFP last date
22 July 2024
Reseach Article

A Pragmatic Note on Knopflerfish-based Ambient Assisted Living (AAI) Systems Engineering

by Veeramuthu Venkatesh, Pethuru Raj, V.Vaithayanathan, M.Prashanth Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 8
Year of Publication: 2011
Authors: Veeramuthu Venkatesh, Pethuru Raj, V.Vaithayanathan, M.Prashanth Kumar

Veeramuthu Venkatesh, Pethuru Raj, V.Vaithayanathan, M.Prashanth Kumar . A Pragmatic Note on Knopflerfish-based Ambient Assisted Living (AAI) Systems Engineering. International Journal of Computer Applications. 19, 8 ( April 2011), 42-47. DOI=10.5120/2378-3136

@article{ 10.5120/2378-3136,
author = { Veeramuthu Venkatesh, Pethuru Raj, V.Vaithayanathan, M.Prashanth Kumar },
title = { A Pragmatic Note on Knopflerfish-based Ambient Assisted Living (AAI) Systems Engineering },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 8 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { },
doi = { 10.5120/2378-3136 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:06:28.959587+05:30
%A Veeramuthu Venkatesh
%A Pethuru Raj
%A V.Vaithayanathan
%A M.Prashanth Kumar
%T A Pragmatic Note on Knopflerfish-based Ambient Assisted Living (AAI) Systems Engineering
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 8
%P 42-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA

The unprecedented adoption of pervasive computing, autonomic communication, mesh networking, and ubiquitous sensing technologies in sync up with a growing and gorgeous variety of highly miniaturized, multifaceted and smart devices, sensors, actuators, robots, displays, and controllers has set in a stimulating and sparkling stage for the fulfillment of the ambient intelligence (AmI) vision. That is, intelligence everywhere all the time is the ultimate vision for the evolving and enabling IT. IT infrastructures are increasingly virtualized and autonomic, IT systems and networks are becoming context-aware and cognitive through self-identification and environmental monitoring tags, stickers, sensors, system building-blocks such as services are fully process-centric, model-driven application components engineering is gaining more traction, etc. Interoperable and shared services and intelligent agents all collaboratively set to facilitate the realization of futuristic AmI applications. These have given the relevant and right confidence in the minds of many in order to establish and sustain a series of stunning smart environments such as smart homes, buildings, hospitals, hotels, stations, stadiums, etc. A bevy of real-time and real-world applications such as ambient assisted living (AAI), smart energy management, etc. are being explored, experimented, and espoused. The industry is abuzz with a growing array of robust and resilient AmI technologies, frameworks, middleware, etc. Natural interfaces for machine-to-machine (M2M) communication are fast emerging and evolving. Smart healthcare is the first mover to the technology-sponsored and splurged AmI space. In this paper, A standards-based ambient healthcare system has been developed and tested. This is a great gift for the elderly, debilitated and disabled. Also, this system can substantially improve the living conditions of humans by leaps and bounds. Here our focus is to develop and sustain an ambient assisted living (AAI) system by using Open Services Gateway Initiative (OSGi), which is emerging as the most prominent and dominant service integration, composition and collaboration standard. There are several best-in-class implementations of the OSGi specification. This present implementation has carefully considered the pros and cons of them and finally zeroed down on Knopflerfish and derived the system architecture using a peer-to-peer approach. Furthermore it also developed a decentralized network of services and devices.

  1. Cliodhna Nì Scanaill, SheilaCarew, Pierre Barralon, Norbert Noury, Declan Lyons, and Gerard M. Lyons, “A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment”, Annals of Biomedical Engineering, 34( 4)(2006) pp. 547–563.
  2. Marie Chan, Daniel Estève, Christophe Escriba, Eric Campo, “A review of smart homes—Present state and future challenges”, computer methods and programs in biomedicine 91 (2008) 55–81.
  3. Sven Meyer , Andry Rakotonirainy, A survey of research on context-aware homes, Proceedings of the Australasian information security workshop conference on ACSW frontiers (2003), 159-168. Adelaide, Australia
  4. Matthias Baldauf , Schahram Dustdar , Florian Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, 2(4),(2007).263-277.
  5. Jorge Parra1, M. Anwar Hossain, Aitor Uribarren, Eduardo Jacob, and Abdulmotaleb El Saddik, “Flexible Smart Home Architecture using Device Profile for Web Services: a Peer-to-Peer Approach” , International Journal of Smart Home 3(2)( 2009) 39-56
  6. Kleinberger, Thomas; Becker, Martin; Ras, Eric; Holzinger Andreas & Müller, Paul, “ Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces” Stephanidis, Constantine (Eds):Universal Access in Human Computer Interaction. Berlin & Heidelberg: Springer, p LNCS 4555 (2007) 103-112.
  7. Nayat Sánchez-Pi and José Manuel Molina, “A Centralized Approach to an Ambient Assisted Living Application: An Intelligent Home”, Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, And Ambient Assisted Living, LNCS 5518(2009) 706-709.
  8. Juan P. Lázaro, Alvaro Fides, Ana Navarro, and Sergio Guillén, “Ambient Assisted Nutritional Advisor for Elderly People living at home”, 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina, (2010) 198-203.
  9. Werner Kurschl, Stefan Mitsch and Johannes Schoenboeck, “An Engineering Toolbox to Build Situation Aware Ambient Assisted Living Systems”, Third International Conference on Broadband Communications, Information Technology & Biomedical Applications, (2008) 110-116
  10. H. Martín H, A.M. Bernardos, et al., “Analysis of key aspects to manage Wireless Sensor Networks in Ambient Assisted Living environments,” International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2009. 1-8
  11. H. Sun, V.D. Florio, et al., “Promises and Challenges of Ambient Assisted Living Systems,” 6th International Conference on Information Technology: New Generations, (2009)1201-1207.
  12. Hande Alemdar and Cem Ersoy, “Wireless sensor networks for healthcare: A survey,” Computer Networks, 54 (2010), 2688 – 2710.
  13. Ming-Hui J., Ren-Guey L., Cheng-Yan K., You-Rui W., Frank H., Tse-Ping D., Kuan-Tsae H., “Sensor network design and implementation for health telecare and diagnosis assistance applications,” Proc. 11th International Conference on Parallel and Distributed Systems, 2 (2005), 407- 411.
Index Terms

Computer Science
Information Sciences


Knopflerfish Ambient Assisted Living smart home