Mobile user location Prediction in cellular network using Agent Technique
Keywords:
mobile computing, Datacache, mobile cache, mobile agentAbstract
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.
References
[1] D. Lee, B. Zheng, and W.-C. Lee, “Data Management in Location- Dependent Information Services,” IEEE Pervasive Computing, vol. 1, no. 3, pp. 65-72, July-Sept. 2002.
[2] B. Zheng, J. Xu, and D.L. Lee, “Cache Invalidation and Replacement Strategies for Location-Dependent Data in Mobile Environments,” IEEE Trans. Computers, vol. 15, no. 10, pp. 1141- 1153, Oct. 2002.
[3] B. Zheng and D.L. Lee, “Processing Location-Dependent Queries in a Multi-Cell Wireless Environment,” Proc. Second ACM Int’l Workshop Data Eng. for Wireless and Mobile Access, 2001.
[4] B. Zheng, J. Xu, W.-C. Lee, and D.L. Lee, “On Semantic Caching and Query Scheduling for Mobile Nearest-Neighbor Search,” Wireless Networks, vol. 10, no. 6, pp. 653-664, Dec. 2004.
[5] X. Gao and A. Hurson, “Location Dependent Query Proxy,” Proc -ACM Int’l Symp. Applied Computing, pp. 1120-1124, 2005.
[6] X. Gao, J. Sustersic, and A.R. Hurson, “Window Query Processing with Proxy Cache,” Proc. Seventh IEEE Int’l Conf. Mobile Data Management, 2006.
[7] K.C. Lee, J. Schiffman, B. Zheng, and W.-C. Lee, “Valid Scope Computation for Location-Dependent Spatial Query in Mobile Broadcast Environments,” Proc. 17th ACM Conf. Information and Knowledge Management, pp. 1231-1240, 2008.
[8] T. Camp, J. Boleng, and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Comm. Mobile Computing, vol. 2, no. 5, pp. 483-502, Sept. 2002.
[9] S.-C. Lo, G. Lee, W.-T. Chen, and J.-C. Liu, “Architecture for Mobility and Qos Support in All-Ip Wireless Networks,” IEEE J. Selected Areas Comm., vol. 22, no. 4, pp. 691-705, May 2004.
[10] F.P. Tso, J. Teng, W. Jia, and D. Xuan, “Mobility: A Double-Edged Sword for Hspa Networks: A Large-Scale Test on Hong Kong Mobile Hspa Networks,” Proc. MobiHoc Conf., pp. 81-90, 2010.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
