Dissertation
Dissertation > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications

Research on MIPv6 Vertical Handoff Algorithm and Interface Selection Algorithm in Heterogeneous Networks

Author ZhangLei
Tutor XieHong
School Harbin Engineering University
Course Communication and Information System
Keywords Mobile IPv6 Vertical handover Switching threshold Network Selection
CLC TN929.5
Type Master's thesis
Year 2009
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Mobile IPv6 as a fusion of different access network at the IP layer wireless technology will be widely used in the next generation of wireless communication . It has the advantages of scalability , reliability and security , is considered to be one of the core technology for the next generation of wireless communication network . Mobile IPv6 also there are a lot of shortcomings in the vertical handover node speed is not considered to result in a ping-pong effect , packet loss rate and network delay ; , did not consider user QoS requirements in the network selection to make the choice of network does not comply with the wishes of the user . This limits the wide application of Mobile IPv6 technology . This article focused on how to reduce the ping-pong effect , packet loss and network delay , and QoS requirements will take into account the network selection study . First, mobile IPv6 basic principles and key technical studies comparing the two switching mode switching level ; then , based on systematic analysis of the switching threshold vertical handover , detailed vertical handover algorithm parameters of decision-making . Finally, the definition of network selection , detailed evaluation function network selection algorithm , and the Analytic Hierarchy Process (AHP) and gray correlation (GRC) , a comprehensive study and comparison . In this paper, based on analysis of the above parameters decision algorithms and network selection algorithm proposed improved algorithm . Vertical handoff , adaptive vertical handover algorithm based on the speed according to the speed of movement of the mobile node , the stable periodic adaptive adjustment switching threshold . Simulation results show that the improved algorithm and compared to the original algorithm reduces unnecessary switching times, packet loss , and switching delay . Network selection , the premise of a user QoS , network selection algorithm combined with AHP and GRC . Different emphasis on network parameters based on user parameters quantify weighted by the gray correlation method combined with the network conditions , the optimal network to get the premise of the will of the user . Simulation results show that the the AHP and GRC combined network selection algorithm has better sensitivity than the original algorithm and real-time .

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