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Mobile user location Prediction in cellular network using Agent Technique

G. Shanmugarthinam1

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-16 , Page no. 148-154, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si16.148154

Online published on May 18, 2019

Copyright © G. Shanmugarthinam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: G. Shanmugarthinam, “Mobile user location Prediction in cellular network using Agent Technique,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.16, pp.148-154, 2019.

MLA Style Citation: G. Shanmugarthinam "Mobile user location Prediction in cellular network using Agent Technique." International Journal of Computer Sciences and Engineering 07.16 (2019): 148-154.

APA Style Citation: G. Shanmugarthinam, (2019). Mobile user location Prediction in cellular network using Agent Technique. International Journal of Computer Sciences and Engineering, 07(16), 148-154.

BibTex Style Citation:
@article{Shanmugarthinam_2019,
author = {G. Shanmugarthinam},
title = {Mobile user location Prediction in cellular network using Agent Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {16},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {148-154},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1296},
doi = {https://doi.org/10.26438/ijcse/v7i16.148154}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i16.148154}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1296
TI - Mobile user location Prediction in cellular network using Agent Technique
T2 - International Journal of Computer Sciences and Engineering
AU - G. Shanmugarthinam
PY - 2019
DA - 2019/05/18
PB - IJCSE, Indore, INDIA
SP - 148-154
IS - 16
VL - 07
SN - 2347-2693
ER -

           

Abstract

In mobile computing to determine the future location of Mobile user movement is used to manage communication and to provide the Quality of location based services. Mobile computing surroundings are considered by wireless links are not faster and comparatively below privileged hosts are battery powers were inadequate , inclined to frequent interruptions. Mobile hosts (MHs) caching a data in a wireless network helps to slove the problems related with slow, inadequate bandwidth wireless links, by plummeting preserving bandwidth. Battery power is preserved by plummeting the number of up-link requests. There are some problems due to incomplete wireless communication, partial client source, suspension of client and unobstructed mobility. So it is problematic to uphold the data cache and pre-fetch in mobile computing. Three key techniques, namely, FLA (Future Location Agent), PLA (Preceding Location agent) and CLA (Contemporary Location agent) have been designed and proposed the future mobile user location using the user movement history. These methods use log and thread harmonization Classical for data caching and prefetching conservation in site founded queries .This method consequences in abridged server workload saving of wireless bandwidth and abridged network traffic.

Key-Words / Index Term

mobile computing , Datacache , mobile cache , mobile agent

References

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