All Title Author
Keywords Abstract

A Fuzzy Preprocessing Module for Optimizing the Access Network Selection in Wireless Networks

DOI: 10.1155/2013/232198

Full-Text   Cite this paper   Add to My Lib


A heterogeneous wireless network is characterized by the presence of different wireless access technologies that coexist in an overlay fashion. These wireless access technologies usually differ in terms of their operating parameters. On the other hand, Mobile Stations (MSs) in a heterogeneous wireless network are equipped with multiple interfaces to access different types of services from these wireless access technologies. The ultimate goal of these heterogeneous wireless networks is to provide global connectivity with efficient ubiquitous computing to these MSs based on the Always Best Connected (ABC) principle. This is where the need for intelligent and efficient Vertical Handoffs (VHOs) between wireless technologies in a heterogeneous environment becomes apparent. This paper presents the design and implementation of a fuzzy multicriteria based Vertical Handoff Necessity Estimation (VHONE) scheme that determines the proper time for VHO, while considering the continuity and quality of the currently utilized service, and the end-users' satisfaction. 1. Introduction During recent years, the need for global connectivity to access different types of services at any place and any time has significantly increased. The latest innovations [1] in wireless access technology provide uninterrupted on-demand services, such as real-time multimedia, which are independent of device type, locations, and available networks [2]; the ultimate goal is to maintain a satisfactory end-user experience by providing the necessary quality and continuity of the currently utilized service in a cost-efficient manner. A heterogeneous wireless network comprises of different wireless networks including IEEE 802.15 based Wireless Personal Area Network (WPAN), IEEE 802.11 based Wireless Local Area Networks (WLAN), IEEE 802.16 based Wireless Metropolitan Area Network (WMAN), different types of cellular technologies such as Global System of Mobile Communication (GSM) and Universal Mobile Telecommunication System (UMTS), Vehicular Ad hoc Network (VANET), and satellite networks. To provide seamless mobility and convergence, integration of these diverse wireless networks is required. A multimodal Mobile Station (MS), in the presence of these integrated networks with overlapping coverage, can connect to any of these wireless access technologies. An MS, in a heterogeneous wireless network, switches its current Point of Attachment (PoA) to a new wireless network using a process called Vertical Handoff (VHO). These VHOs are required to maintain the continuity and quality of the current session


[1]  I. F. Akyildiz, J. Xie, and S. Mohanty, “A survey of mobility management in next-generation all-IP-based wireless systems,” IEEE Wireless Communications, vol. 11, no. 4, pp. 16–28, 2004.
[2]  G. Lampropoulos, A. K. Salkintzis, and N. Passas, “Media-independent handover for seamless service provision in heterogeneous networks,” IEEE Communications Magazine, vol. 46, no. 1, pp. 64–71, 2008.
[3]  P. M. L. Chan, Y. F. Hu, and R. E. Sheriff, “Implementation of fuzzy multiple objective decision making algorithm in a heterogeneous mobile environment,” in Proceedings of the Wireless Communications and Networking Conference ( WCNC '02), vol. 1, pp. 332–336, March 2002.
[4]  Z. Yan, H. Luo, Y. Qin, et al., “An adaptive multi-criteria vertical handover framework for heterogeneous networks,” in Proceedings of the International Conference on Mobile Technology, Applications, and Systems, pp. 14:1–14:7, Yilan, Taiwan, September 2008.
[5]  K. Vasu, S. Maheshwari, S. Mahapatra, and C. S. Kumar, “QoS aware fuzzy rule based vertical handoff decision algorithm for wireless heterogeneous networks,” in Proceedings of the National Conference on Communications (NCC '11), pp. 1–5, January 2011.
[6]  S. K. M. Venkata and L. Rajesh, “Implementation of fuzzy logic for network selection in next generation networks,” in Proceedings of the International Conference on Recent Trends in Information Technology (ICRTIT '11), pp. 595–600, June 2011.
[7]  M. Alkhawlani and A. Ayesh, “Access network selection based on fuzzy logic and genetic algorithms,” Advances in Artificial Intelligence, vol. 2008, Article ID 793058, 12 pages, 2008.
[8]  S. Horrich, S. Ben Jemaa, and P. Godlewski, “Neural networks for adaptive vertical handover decision,” in Proceedings of the 5th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt '07), pp. 1–7, April 2007.
[9]  S. Dhar, A. Ray, and R. Bera, “Design and simulation of vertical handover algorithm for vehicular communication,” International Journal of Engineering Science and Technology, vol. 2, pp. 5509–5525, 2010.
[10]  S. Dhar, A. Ray, and R. Bera, “A context aware vertical handoff algorithm for vehicular communication,” International Journal of Electronics, Computer and Communications Technologies, vol. 2, no. 1, pp. 24–34, 2011.
[11]  F. Kaleem, A. Mehbodniya, K. K. Yen, and F. Adachi, “Application of fuzzy TOPSIS for weighting the system attributes in overlay networks,” in Proceedings of the 14th Asia-Pacific Network Operations and Management Symposium (APNOMS '12), pp. 1–6, September 2012.
[12]  J. Rinne, “3GPP Specification Details, TS 23. 107”.
[13]  F. Kaleem, VHITS: vertical handoff initiation and target selection in a heterogeneous wireless network [Ph.D. dissertation], Florida International University, 2012.
[14]  B. V. Quang, R. V. Prasad, and I. Niemegeers, “A survey on handoffs—lessons for 60?GHz based wireless systems,” IEEE Communications Surveys & Tutorials, vol. 14, no. 1, pp. 64–86, 2010.
[15]  C. H. Lee and C. J. Yu, “An intelligent handoff algorithm for wireless communication systems using grey prediction and fuzzy decision system,” in Proceedings of IEEE International Conference on Networking, Sensing and Control, vol. 1, pp. 541–546, March 2004.
[16]  J. L. Deng, “Introduction to Grey system theory,” Journal of Grey System, vol. 1, pp. 1–24, 1989.
[17]  J. D. Morales, U. Pineda-Rico, and E. Stevens-Navarro, “Performance comparison between MADM algorithms for vertical handoff in 4G networks,” in Proceedings of the 7th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE '10), pp. 309–314, September 2010.
[18]  T. Oliveira, S. Mahadevan, and D. P. Agrawal, “Handling network uncertainty in heterogeneous wireless networks,” in Proceedings of IEEE International Conference on Computer Communications (INFOCOM '11), pp. 2390–2398, April 2011.
[19]  J. Lilly, “Takagi-sugeno fuzzy systems,” in Fuzzy Control and Identification, pp. 88–105, Wiley-IEEE Press, 2010.
[20]  E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proceedings of the Institution of Electrical Engineers, vol. 121, no. 12, pp. 1585–1588, 1974.
[21]  J. Zander and S. Kim, Radio Resource Management in Wireless Networks, Artech House, 2001.


comments powered by Disqus

Contact Us


微信:OALib Journal