Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks
Files (Excerpt)
Issued Date
2015
Genre
Language
eng
File Type
application/pdf
No. of Pages/File Size
6 pages
Citation
7th International Conference on Knowledge and Smart Technology (KST 2015), 155-160
Title
Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks
Author(s)
Abstract
Continuous cell zooming algorithm is a potential
dynamic cell zooming algorithm for energy-efficient operation of
mobile wireless networks. In this algorithm, location
management strategy (location update process) is required to
know the location of the farthest user in each cell to perform cell
zooming. However, the application of conventional periodic
update scheme in continuous cell zooming algorithm can lead to a
high signaling cost. Therefore, in this paper, two adaptive
location update schemes, namely, Time-Adaptive Periodic
Update (TAPU) and Location-Adaptive Periodic Update (LAPU)
are proposed aiming to reduce the number of update messages in
continuous cell zooming operation. The performances of the
proposed adaptive location update schemes are compared with
that of Convention Periodic Update (CPU) scheme. Their
performances are evaluated in terms of power saving capability,
outage ratio and number of update messages raised in cell
zooming operation in both omni-directional and sector-based cell
networks. The TAPU and LAPU have no significant effect on
power saving capability of continuous cell zooming algorithm
and they give less number of update messages compared to CPU
scheme. However, outage occurs in cell zooming operation with
TAPU scheme because it has longer update intervals. Meanwhile
the LAPU scheme can eliminate outage in cell zooming operation
as CPU scheme does.