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The Research Of Dendriform Location Management And Self-adaptive Neighbor Transmission Algorithm In Mobile IP

Posted on:2005-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:P F HeFull Text:PDF
GTID:2168360125958731Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Recent initiatives to add mobility to the Internet are being considered by emerging mobile service providers as possible Candidate Solutions for the delivery of IP (Internet Protocol) data to mobile users. To run IP on the mobile communication networks ,Mobile IP is defined by the Internet engineering task force ( IETF).The terms broadband! and seamless are the main keywords for future mobile communication systems and the mobility management is the most important problem in seamless roaming across systems .In this paper each aspects of mobility management are introduced, especially management framework and some protocols. Location management and location predictability are the challenging topics in the mobility management.Firstly, this paper proposed a scheme with tree structure to manage location information for MN. The scheme mainly bases on the location management scheme and multicast-trees scheme. On the foundation of typical tree structure, the scheme is proved to be a better location management scheme whenever a mobile node crosses the boundary of location areas quickly. During a mobile node crosses the boundary of location areas, the mobile node updates to feasible father-node until the MN and its HLR belong to the same father-node. Additionally, some formulas were derived. According to these formulas, the cost of tree location management scheme, on certain conditions, is less than the cost of the basic scheme(GSM or IS-41).At the same time, networks with tree structure have brought new ideas to the solutions of the smart for self-adaptive neighbor transmission algorithm. This algorithm is proposed to guarantee traffics QoS (quality of service) and attains smooth handoff of service traffics for MN which crosses the boundary of location areas quickly. Combining with fuzzy control algorithm and location predictability scheme, this scheme is able to decide the number of BS (base station) which needs neighbor uni-cast according to the handoff frequency of the MN. This is so called self-adaptive of this scheme. And of course, it's derived to progress QoS greatly on certain conditions.
Keywords/Search Tags:Mobile IP, Mobility Management, Tree, Location Predictability, Fuzzy Control
PDF Full Text Request
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