Support Vector Machine Based Mobility Prediction Scheme in Heterogeneous Wireless Networks
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To improve the intelligence of the mobile-aware applications in the heterogeneous wireless networks (HetNets), it is essential to establish an advanced mechanism to anticipate the change of the user location in every subnet for HetNets.
This paper proposes a multiclass support vector machine based mobility prediction (Multi-SVMMP) scheme to estimate the future location of mobile users according to the movement history information of each user in HetNets.
In the location prediction process, the regular and random user movement patterns are treated differently, which can reflect the user movements more realistically than the existing movement models in HetNets.
And different forms of multiclass support vector machines are embedded in the two mobility patterns according to the different characteristics of the two mobility patterns.
Moreover, the introduction of target region (TR) cuts down the energy consumption efficiently without impacting the prediction accuracy.
As reported in the simulations, our Multi-SVMMP can overcome the difficulties found in the traditional methods and obtain a higher prediction accuracy and user adaptability while reducing the cost of prediction resources.
American Psychological Association (APA)
Chen, Jiamei& Ma, Lin& Xu, Yubin. 2015. Support Vector Machine Based Mobility Prediction Scheme in Heterogeneous Wireless Networks. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073644
Modern Language Association (MLA)
Chen, Jiamei…[et al.]. Support Vector Machine Based Mobility Prediction Scheme in Heterogeneous Wireless Networks. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073644
American Medical Association (AMA)
Chen, Jiamei& Ma, Lin& Xu, Yubin. Support Vector Machine Based Mobility Prediction Scheme in Heterogeneous Wireless Networks. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073644