Context Information Device Enriched Architecture for Context Computing

G. K. Mohan Devarakonda*, Y. K. Sundara Krishna**
* Research Scholar and Academic Consultant, Department of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India.
** Professor, Department of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India..
Periodicity:September - November'2018
DOI : https://doi.org/10.26634/jit.7.4.15075

Abstract

With the increased use of smartphone devices, the business domains are fetching new ways to promote their services. One such business model of computing is to locate the customer through his geographical coordinates and providing the service accordingly, which is termed as context computing or context aware computing or location based service (Payton, Roman, & Julien, 2004). However, the business domains are concentrating on the service point of view, but not on the user choice of required service. For example, a user when moving in a medical emergency may not be able to find out the right hospital based on his type of emergency because hospitals may be of different specialities. In earlier types of context awareness applications, location of user at any particular point of time is termed as the context. This paper redefines the context not only as user location at any particular point of time, but also the user’s state of mind and choice of required service as the context and concentrates more on the services from the user’s point of view. Concentration on the user requirement and customization of services is also a key point in the business, which increases the market substantially. This paper proposes a new approach for context based computing that enables the user to avail services based on his requirement. This paper also proposes a methodology and architecture to provide context aware services to the user in a customizable manner so that the user can specify his requirements more clearly and avail the service that suits his requirement. This approach helps smaller markets to grow more and larger markets to increase further.

Keywords

Context Awareness, Context Based Computing, User Context, Context Information Device.

How to Cite this Article?

Devarakonda, M. G. K., KRISHNA, S. Y. K. (2018) Context Information Device Enriched Architecture for Context Computing,i-manager's Journal on Information Technology, 7(4), 37-42. https://doi.org/10.26634/jit.7.4.15075

References

[1]. Association des instituts carnot. (2011). Smart networked objects and Internet of Things. Carnot Institutes' Information Communication Technologies and Micro Nano Technologies Alliance, White Paper.
[2]. Baldauf, M. (2007). A survey on context-aware systems. International Journal of Adhoc and Ubiquitous Computing, 2(4), 263-277.
[3]. Chen, G., & Kotz, D. (2000). A survey of context-aware mobile computing research (Vol. 1, No. 2.1, pp. 2-1). Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College.
[4]. Feng, L., Apers, P. M., & Jonker, W. (2004, August). Towards context-aware data management for ambient intelligence. In International Conference on Database and Expert Systems Applications (pp. 422-431). Springer, Berlin, Heidelberg.
[5]. Hammal, Z., & Suarez, M. T. (2013, September). Towards context based affective computing. In Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on (pp. 802-802). IEEE.
[6]. Jiang, B., & Yao, X. (2006). Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30(6), 712-725.
[7]. Payton, J., Roman, G. C., & Julien, C. (2004, May). Context-sensitive data structures supporting software development in ad hoc mobile settings. In Proceedings of the 3rd International Workshop on Software Engineering for Large-scale Multi-agent Systems, Co-located with ICSE 2004 (pp. 34-41).
[8]. Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014). Context aware computing for the Internet of Things: A survey. IEEE Communications Surveys & Tutorials, 16(1), 414-454.
[9]. Smart Ubiquitous Networks – Context Awareness Framework. ITU – T Series Y.3043 (08/2013).
[10]. Schilit, B. N., LaMarca, A., Borriello, G., Griswold, W. G., McDonald, D., Lazowska, E., ... & Iverson, V. (2003, September). Challenge: Ubiquitous location-aware computing and the place lab initiative. In Proceedings of the 1st ACM International Workshop on Wireless Mobile Applications and Services on WLAN Hotspots (pp. 29-35). ACM.
[11]. Zhang, D., Huang, H., Lai, C. F., Liang, X., Zou, Q., & Guo, M. (2013). Survey on context-awareness in ubiquitous media. Multimedia Tools and Applications, 67(1), 179-211.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.