Case study on handoff strategies for wireless overlay networks

被引:29
|
作者
Calhan, Ali [1 ]
Ceken, Celal [2 ]
机构
[1] Duzce Univ, Fac Technol, Dept Comp Engn, Duzce, Turkey
[2] Kocaeli Univ, Networked Control Syst Lab, Kocaeli, Turkey
关键词
Vertical Handoff; Heterogeneous networks; Fuzzy logic; Multi-objective decision making; SAW;
D O I
10.1016/j.csi.2012.06.002
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
One of the most challenging topics for next-generation wireless networks is the process of vertical handoff since many of wireless technologies overlap each other and build a heterogeneous topology. Several parameters, pertaining to user/application requirements and network conditions, such as data rate, service cost, network latency, speed of mobile, and etc. must be considered in the handoff process of heterogeneous networks along with RSSI information. In this paper, adaptive fuzzy logic-based vertical handoff decision-making algorithms are presented for wireless overlay networks which consist of GSM/GPRS/Wi-Fi/IJMTS/WiMAX technologies. The parameters data rate, monetary cost, speed of mobile and RSSI information are processed as inputs of the proposed fuzzy-based systems. According to these parameters, an output value, which varies between 1 and 10, is produced. This output value is utilized to determine whether a handoff process is necessary or not and to select the best candidate access point in the vicinity. The results show that, compared to the traditional RSSI-based algorithm significantly enhanced outcomes can be achieved for both user and network as a consequence of the proposed fuzzy-based handoff systems. The simulation results are also compared with those of classical MADM (Multiple Attribute Decision Making) method, i.e. SAW (Simple Additive Weighting). According to the results obtained, the proposed vertical handoff decision algorithms are able to determine whether a handoff is necessary or not, properly, and select the best candidate access network considering the aforementioned parameters. Moreover, fuzzy-based algorithm noticeably reduces the number of handoffs compared to SAW-based algorithm. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:170 / 178
页数:9
相关论文
共 50 条
  • [31] Opportunistic Overlay Multicast in Wireless Networks
    Le, Tan
    Liu, Yong
    2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010, 2010,
  • [32] The study of the handoff for the wireless network
    Liu, Chung-Hsin
    2008 IEEE ASIA-PACIFIC SERVICES COMPUTING CONFERENCE, VOLS 1-3, PROCEEDINGS, 2008, : 937 - 941
  • [33] Vertical handoffs in wireless overlay networks
    Stemm M.
    Katz R.H.
    Mobile Networks and Applications, 1998, 3 (4) : 335 - 350
  • [34] Secured and fast handoff in wireless mesh networks
    Zarai, Faouzi
    Daly, Ikbel
    Obaidat, Mohammad S.
    Kamoun, Lotfi
    SECURITY AND COMMUNICATION NETWORKS, 2013, 6 (05) : 644 - 657
  • [35] Handoff between WiMAX and WiFi Wireless Networks
    Gehlot, Abhishek
    Rajavat, Anand
    2016 SYMPOSIUM ON COLOSSAL DATA ANALYSIS AND NETWORKING (CDAN), 2016,
  • [36] Seamless handoff support in wireless mesh networks
    Wei, Hung-Yu
    Kim, Sanghyo
    Ganguly, Samrat
    Izmailov, Rauf
    2006 1ST WORKSHOP ON OPERATOR-ASSISTED (WIRELESS MESH) COMMUNITY NETWORKS, 2006, : 83 - 90
  • [37] Handoff and optimal channel assignment in wireless networks
    Bartolini, N
    MOBILE NETWORKS & APPLICATIONS, 2001, 6 (06): : 511 - 524
  • [38] Handoff for Wireless Networks with Mobile Relay Stations
    Zhao, Hongxia
    Huang, Rongsheng
    Zhang, Jietao
    Fang, Yuguang
    2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2011, : 826 - 831
  • [39] Handoff resource prediction in multimedia wireless networks
    Mahil, S
    Fapojuwo, AO
    CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING-REVUE CANADIENNE DE GENIE ELECTRIQUE ET INFORMATIQUE, 2005, 30 (03): : 149 - 155
  • [40] An intelligent handoff strategy in heterogeneous wireless networks
    Kustiawan, Iwan
    Chi, Kuang-Hui
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (05) : 3313 - 3324