A novel model for minimizing unnecessary handover in heterogeneous networks

A novel model for minimizing unnecessary handover in heterogeneous networks

Over the years, vertical handover necessity estimation has attracted the interest of numerous researchers.Despite the attractive benefits of integrating different wireless platforms, mobile users are confronted with the issue ofdetrimental handover. This paper uses extensive geometric and probabilistic techniques to develop a realistic and novelmodel for the coverage area of a wireless local area network (WLAN) cell with an aim to minimize unnecessary handoverand handover failure of a mobile node (MN) traversing the WLAN cell from a third-generation network. The dwell timeis estimated along with the threshold values to ensure an optimal handover decision by the MN, while the probabilityof unnecessary handover and probability of handover failure are kept within tolerable bounds. Monte Carlo simulationswere carried out to assess the behavior of the proposed and existing models. Simulation results showed that our proposedmodel is more robust and capable of keeping unnecessary handover probability and handover failure probability closestto a predefined probability benchmark. For model validation, the Nash–Sutcliffe coefficient was used to compute theefficiency of the proposed model, which achieved a value of 98.82% indicating the accuracy of the model.

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  • [1] Hussain R, Malik SA, Abrar S, Riaz RA, Khan SA. Minimizing unnecessary handovers in a heterogeneous network environment. PRZ Elektrotechniczn 2012; 88: 314-318.
  • [2] Yan X, Mani N, Sekercioglu YA. A traveling distance prediction based method to minimize unnecessary handovers from cellular networks to WLANs. IEEE Commun Lett 2008; 12: 14-16.
  • [3] Hussain R, Malik SA, Abrar S, Riaz RA, Ahmed H, Khan SA. Vertical handover necessity estimation based on a new dwell time prediction model for minimizing unnecessary handovers to a WLAN cell. Wireless Pers Commun 2013; 71: 1217-1230.
  • [4] Mohanty SA. New architecture for 3G and WLAN integration and intersystem handover management. Wirel Netw 2006; 12: 733-745.
  • [5] Chang BJ, Chen JF. Cross-layer-based adaptive vertical handoff with predictive RSS in heterogeneous wireless networks. IEEE T Veh Technol 2008; 57: 3679-3692.
  • [6] Tamea G, Vegni AM, Inzerilli T, Cusani R. A probability-based vertical handover approach to prevent ping-pong effect. In: 2009 6th International Symposium on Wireless Communication Systems; 7–10 September 2009; Tuscany, Italy. New York, NY, USA: IEEE. pp. 181-185.
  • [7] Wang L, Zawodniok MJ. Bias and CRB analysis of LoS-based and RSS-based ranging methods. IEEE T Veh Technol 2016; 65: 9085-9097.
  • [8] Teng Y, Liu M, Song M. Effect of outdated CSI on handover decisions in dense networks. IEEE Commun Lett 2017; 21: 2238-2241.
  • [9] Wu J, Fan P. A survey on high mobility wireless communications: challenges, opportunities and solutions. IEEE Access 2016; 4: 450-476.
  • [10] He D, Chi C, Chan S, Chen C, Bu J, Yin M. A simple and robust vertical handoff algorithm for heterogeneous wireless mobile networks. Wireless Pers Commun 2011; 59: 361-373.
  • [11] Liu M, Li Z, Guo X, Dutkiewicz E. Performance analysis and optimization of handoff algorithms in heterogeneous wireless networks. IEEE T Mobile Comput 2008; 7: 846-857.
  • [12] Jafari AH, Shahhoseini HS. A location aware history-based approach for network selection in heterogeneous wireless networks. Turk J Electr Eng & Comp Sci 2016; 24: 2929-2948.
  • [13] Zarei M, Ghahfarohi BS, Mahdavi M. Mobility and load aware radio resource management in OFDMA femtocell networks. Turk J Electr Eng & Comp Sci 2017; 25: 1976-1992.
  • [14] Shanmugam K. A novel candidate network selection based handover management with fuzzy logic in heterogeneous wireless networks. In: 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS); 6–7 January 2017; Coimbatore, India. New York, NY, USA: IEEE. pp. 1-6.
  • [15] Rappaport TS. Wireless Communications Principles and Practice. 2nd ed. New York, NY, USA: Prentice Hall PTR, 2002.
  • [16] Fontan PF, Espineira PM. Modelling the Wireless Propagation Channel: A Simulation Approach with MATLAB. New York, NY, USA: John Wiley and Sons Ltd, 2008.
  • [17] Papoulis A. Probability, Random Variables, and Stochastic Processes. 3rd ed. New York, NY, USA: McGraw-Hill, 1991.
  • [18] Yang Q, Chen S, Xie H, Hao X, Zhang W. Application of snowmelt runoff model (SRM) in upper Songhuajiang Basin using MODIS remote sensing data. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); 10–15 July 2016; Beijing, China. New York, NY, USA: IEEE. pp. 4905-4908.
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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