• DocumentCode
    2728875
  • Title

    A semi and fully distributed handover algorithm for heterogeneous networks using MIIS

  • Author

    Khan, Muhammad Qasim ; Andresen, Steinar Hidle

  • Author_Institution
    Dept. of Telematics, NTNU, Trondheim, Norway
  • fYear
    2012
  • fDate
    1-4 July 2012
  • Abstract
    Network selection in 4G networks by nature is a multi-dimensional problem and many parameters need to be considered for handover decision making. Successful classical handover methods based on Received Signal Strength (RSS) are no longer applicable for heterogeneous handovers because different network standards use different RSS and cannot be compared directly to each other. Heterogeneity does not only exist in network architectures and in their respective Quality of Service (QoS) but also in user application needs and user contexts. Network selection in heterogeneous networks has been modeled as Multiple Attribute Decision Making (MADM). In this paper we investigate how the task of network selection can be distributed across multiple network entities putting minimum possible burden on the Mobile Node (MN) which usually is the most restricted network component in terms of memory, processing power and battery life. This distribution increases the scalability of handover algorithm and will also allow the inclusion of more parameters for handover decision making. Considering more parameters for handovers will result in accurate, robust and general algorithms, capable of fulfilling a variety of user contextual, preferential and applications QoS needs. The Media Independent Handover (MIH) and its different services are used to retrieve and share information among MIH enabled nodes and for conformity among different network standards. Simulations are used to show the effectiveness of a simple handover algorithm based on Simple Additive Weighting (SAW) for network selection considering different types of user services and Service Level Agreement (SLA´s). SAW belongs to the MADM classification of heterogeneous handovers and is chosen here due its simplicity and efficiency. The handover efficiency of the proposed distributed schemes is compared with an ”802.11 Preferred” scheme. Only handovers between Wi-Fi and WiMAX are considered. But the handover framewo- k is general and can be extended to consider other wireless and mobile communication networks like 3G, CDMA etc.
  • Keywords
    4G mobile communication; WiMax; decision making; mobility management (mobile radio); quality of service; wireless LAN; 3G networks; 4G networks; 802.11 preferred scheme; CDMA; MADM classification; MIH; MIIS; QoS; RSS; SAW; SLA; Wi-Fi; WiMax; fully distributed handover algorithm; handover decision making; heterogeneous handover networks; media independent handover; media independent information service; mobile communication networks; mobile node; multidimensional problem; multiple attribute decision making; network selection; quality of service; received signal strength; restricted network component; semidistributed handover algorithm; service level agreement; simple additive weighting; user contexts; wireless communication networks; IEEE 802.11 Standards; Manganese; Mathematical model; Media; Quality of service; Surface acoustic waves; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications (ISCC), 2012 IEEE Symposium on
  • Conference_Location
    Cappadocia
  • ISSN
    1530-1346
  • Print_ISBN
    978-1-4673-2712-1
  • Electronic_ISBN
    1530-1346
  • Type

    conf

  • DOI
    10.1109/ISCC.2012.6249283
  • Filename
    6249283