Hybrid Mobility Prediction of 802.11 Infrastructure Nodes by Location Tracking and Data Mining

Autor:	Issac, B., Hamid, K., Tan, C. E.
Rok vydání:	2014
Předmět:	Computer Science - Networking and Internet Architecture
Druh dokumentu:	Working Paper
Popis:	In an IEEE 802.11 Infrastructure network, as the mobile node is moving from one access point to another, the resource allocation and smooth hand off may be a problem. If some reliable prediction is done on mobile nodes next move, then resources can be allocated optimally as the mobile node moves around. This would increase the performance throughput of wireless network. We plan to investigate on a hybrid mobility prediction scheme that uses location tracking and data mining to predict the future path of the mobile node. We also propose a secure version of the same scheme. Through simulation and analysis, we present the prediction accuracy of our proposal. Comment: 16 pages, appears in Journal of Information Technology in Asia (JITA), 3(1). arXiv admin note: text overlap with arXiv:1410.4180
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1410.4377 Zobrazit plný text záznamu View this record from Arxiv