Abstract
To meet increasing smart device services, wireless networks have smaller cellular architecture compared to previous that. Nevertheless, future communication systems will need more communication channel capacity than current one. The systems will have the problems that they cannot be avoid the concentrated bottleneck by monotonous communication path through base station or mobile switching center.
To overcome these bottleneck problems, we propose a new dynamic cellular architecture called DNA with dynamic cell, which can be created or deleted by service servers or mobile hosts. Thus, the DNA architecture can support various communication channels among base stations and smart devices. Also, the proposed architecture saves channel capacity for accepting more mobile hosts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Poslad, S.: Ubiquitous Computing: Smart Devices, Environments and Interactions. Wiley (2009) ISBN: 978-0-470-03560-3
Valhouli, C.A.: The Hammersmith Group, The Internet of things: Networked objects and smart devices, the hammersmith group research report (February 2010)
Katz, R.H., Brewer, E.A.: The Case for Wireless Overlay Networks, pp. 621–650. Kluwer Academic Publishers (1996)
Harte, L., Prokup, S.,, R.: Cellular and PCS, pp. 118–121. McGrawHill (1997)
Lee, T., Hwang, C.-S.: An Enhanced Wireless Network Architecture for Future Communication Environments. In: the 3rd WPMC 2000, pp. 491–496 (November 2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, T., Chung, GS. (2013). DNA-S: Dynamic Cellular Network Architecture for Smart Communications. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-38027-3_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38026-6
Online ISBN: 978-3-642-38027-3
eBook Packages: Computer ScienceComputer Science (R0)