An Improved Modeling for Network Selection Based on Graph Theory and Cost Function in Heterogeneous Wireless Systems

The next generation of mobile wireless communications represents a heterogeneous environment which integrates variety of network generation like third generation (3G), fourth generation (4G), and fifth generation (5G). The major challenge in this heterogeneous environment is to decide which access point to use when multiple networks are available. Process of roaming mobile user from one technology to anther different is called vertical handover. In this chapter, the authors propose a new mechanism based on graph theory and cost function in order to determine the best path for the end user in terms of quality of service (QoS) when the vertical handover process is needed. Then, they investigate the impact of some existing weighting methods in order to determine the suitable method which can be coupled with the cost function. The experiments evaluation by using Mininet emulator demonstrate that the proposed approach can achieve a significant improvement concerning four QoS metrics: throughput, packet lost, packet delay, and packer jitter for two services FTP and video streaming. An Improved Modeling for Network Selection Based on Graph Theory and Cost Function in Heterogeneous Wireless Systems

[1]  E. Gustafsson,et al.  Always best connected , 2003, IEEE Wirel. Commun..

[2]  Aggeliki Sgora,et al.  An access network selection algorithm for heterogeneous wireless environments , 2010, The IEEE symposium on Computers and Communications.

[3]  Razali Ngah,et al.  Vertical handover decision using history-based communication graph for heterogeneous networks , 2014, 2014 IEEE Conference on Open Systems (ICOS).

[4]  Nazim Agoulmine,et al.  On utility models for access network selection in wireless heterogeneous networks , 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

[5]  Y. Ahmet Sekercioglu,et al.  A Traveling Distance Prediction Based Method to Minimize Unnecessary Handovers from Cellular Networks to WLANs , 2008, IEEE Communications Letters.

[6]  Abdellah Adib,et al.  An enhanced-TOPSIS based network selection technique for next generation wireless networks , 2013, ICT 2013.

[7]  Lahby Mohamed,et al.  A Hybrid Approach for Network Selection in Heterogeneous Multi-Access Environments , 2011, NTMS 2011.

[8]  Aladdin Ayesh,et al.  Access Network Selection Based on Fuzzy Logic and Genetic Algorithms , 2008, Adv. Artif. Intell..

[9]  Nadia Boukhatem,et al.  An utility-based interface selection scheme for multi-homed mobile terminals , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Jiyi Wu,et al.  A Novel AHP and GRA Based Handover Decision Mechanism in Heterogeneous Wireless Networks , 2010, ICICA.

[11]  Todor Cooklev,et al.  Air Interface for Fixed Broadband Wireless Access Systems , 2004 .

[12]  Lusheng Wang,et al.  Mathematical Modeling for Network Selection in Heterogeneous Wireless Networks — A Tutorial , 2013, IEEE Communications Surveys & Tutorials.

[13]  Youngnam Han,et al.  QoS-Based Vertical Handoff Decision Algorithm in Heterogeneous Systems , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Abdellah Adib,et al.  A Novel Ranking Algorithm Based Network Selection For Heterogeneous Wireless Access , 2013, J. Networks.

[15]  Yuming Jiang,et al.  Investigation on MDP-based radio access technology selection in heterogeneous wireless networks , 2015, Comput. Networks.

[16]  Abderrahim Sekkaki,et al.  An improved policy for network selection decision based on enhanced-topsis and utility function , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[17]  Dominic C. O'Brien,et al.  Vertical handover-decision-making algorithm using fuzzy logic for the integrated Radio-and-OW system , 2006, IEEE Transactions on Wireless Communications.

[18]  Pan Su,et al.  An improved TOPSIS vertical handoff algorithm for heterogeneous wireless networks , 2010, 2010 IEEE 12th International Conference on Communication Technology.

[19]  Gabriel-Miro Muntean,et al.  Game Theory-Based Network Selection: Solutions and Challenges , 2012, IEEE Communications Surveys & Tutorials.

[20]  Abderrahim Sekkaki,et al.  Optimal vertical handover based on TOPSIS algorithm and utility function in heterogeneous wireless networks , 2017, 2017 International Symposium on Networks, Computers and Communications (ISNCC).

[21]  N. Nasser,et al.  Generic vertical handoff decision function for heterogeneous wireless , 2005, Second IFIP International Conference on Wireless and Optical Communications Networks, 2005. WOCN 2005..

[22]  Mohammad Hossein Anisi,et al.  MDP-Based Network Selection Scheme by Genetic Algorithm and Simulated Annealing for Vertical-Handover in Heterogeneous Wireless Networks , 2017, Wirel. Pers. Commun..

[23]  Edmundo Roberto Mauro Madeira,et al.  A Mechanism for Vertical Handover Based on SAW Using IEEE 802.21 , 2010, MONAMI.