A Calculation of WLAN Dwell Time Model for Wireless Network Selection


  • Khuzairi Mohd Zaini School of Computer Sciences, Universiti Sains Malaysia, Penang. School of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah.
  • Azizul Rahman Mohd Shariff School of Computer Sciences, Universiti Sains Malaysia, Penang.
  • Zheng Shi Department of Electrical and Computer Engineering, University of Macau.


Wireless, Network Selection, Dwelling Time,


In an integrated wireless and mobile network, selecting a desired a network is an important issue. Parameters such as system load, service characteristics and user mobility are the main criteria in network selection strategy. In this paper, we devise a mobility estimation method for a Mobile Node (MN) during initial network selection and Vertical Handover (VHO). The method relies on a new prediction dwelling time and the Call Holding Time (CHT) of a user. By comparing the predicted dwelling time with the CHT, a MN is able to make decision which network is suitable to be used in order to minimize the VHO. The proposed theoretical model has been validated by the MonteCarlo experiments. The simulation results demonstrate the validity of the proposed method.


K. Piamrat, A. Ksentini, J.-M. Bonnin, and C. Viho, “Radio resource

management in emerging heterogeneous wireless networks,”

Computer Communications, vol. 34, no. 9, pp. 1066–1076, 2011.

A. Hasib and A. O. Fapojuwo, “Analysis of common radio resource

management scheme for end-to-end qos support in multiservice

hetero- geneous wireless networks,” Vehicular Technology, IEEE

Transactions on, vol. 57, no. 4, pp. 2426–2439, 2008.

A. Hasib and A. O. Fapojuwo, “Cross-layer radio resource

management in integrated wwan and wlan networks,” Computer

Networks, vol. 54, no. 3, pp. 341–356, 2010.

Z. Shi, Q. Zhu, and X. Zhu, “Performance analysis of an improved common radio resource management algorithm based on load balance and service characteristics,” Wireless Personal Communications, pp. 1– 22, 2012.

Q. Wu, Z. Du, P. Yang, Y . D. Yao, and J. Wang, “Traffic-aware online network selection in heterogeneous wireless networks,” IEEE Transactions on Vehicular Technology, vol. 65, no. 1, pp. 381–397,Jan 2016.

Y. Kirsal, E. Ever, A. Kocyigit, O. Gemikonakli, and G. Mapp, “Mod elling and analysis of vertical handover in highly mobile environments,” The Journal of Supercomputing, vol. 71, no. 12, pp. 4352–4380, 2015.

A. Mahmood, H. Zen, and A.-K. Othman, “An optimized travelling time estimation mechanism for minimizing handover failures and unnecessary handovers from cellular networks to wlans,” International Journal of Pervasive Computing and Communications, vol. 11, no. 1, pp. 2–16, 2015.

R. Hussain, S. A. Malik, S. Abrar, R. A. Riaz, H. Ahmed, and S. A.

Khan, “Vertical handover necessity estimation based on a new dwell

time prediction model for minimizing unnecessary handovers to a

wlan cell,” Wireless personal communications, vol. 71, no. 2, pp.

–1230, 2013.

Z. Shi and Q. Zhu, “A calculation method for handoff rate based on angle mobility model,” in Systems and Informatics (ICSAI), 2012 International Conference on. IEEE, 2012, pp. 1389–1392.

J. A. Gubner, Probability and random processes for electrical and computer engineers. Cambridge University Press, 2006.




How to Cite

Mohd Zaini, K., Mohd Shariff, A. R., & Shi, Z. (2016). A Calculation of WLAN Dwell Time Model for Wireless Network Selection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(10), 73–76. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1374

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