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Key Technologies Research Of Next Generation Mobile Internet Based On User Behavior

Posted on:2011-07-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y H ZhangFull Text:PDF
GTID:1118360305492924Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
Mobile Internet access becomes a major research focus. The current studies on mobile network face the following challenges:how to provide basic network applications without broadband wireless networks coverage; how to moderate traffic explosion and to provide quality of service of important date.The main works are as follows:Based on substitutability and intranet effect of download and multimedia services, resource post-fetch was proposed and was proved as a Pareto improvement. New utility functions on disruption and delay are proposed to describe post-fetch. Then existing utility functions were amended to propose a Uniform unified utility function on all services, firstly extending scope of utility function to DTN networks;Based on bit paradox and local resources substitutability, Mobile Multi-Homing Hierarchical DTN-based Internet Access (M2H2DTN) structural model was proposed, with multi-homing multi-routers DTN/SCTP/NEMO+MIPv6 architecture for mobility-support and disruption tolerations. Cache overlay layer was added to support pre-and post-fetch distributary. M2H2DTN supports a variety of network environments, needed a simple deploy, and need no MIP mobility-support. Simulations show M2H2DTN can better adapt to network smooth transition period from part-coverage to full-coverage, and is of flexibility, robustness, economic feasibility.A Pareto-optimal non-linear programming resource allocation model was designed on the unified utility function, which can maximize both users and service provider utilities; Source post-fetch policy was designed to satisfy users with access limit in bandwidth constraints. So did access router information matrix and the arrival time estimate in real time, to obtain more accurate constraint conditions. Further the model on under uncertain environment was established. So did a simplify algorithm for real-time solutions. As simulations show, in DTN sparse node environment, the resource allocation models can provide with better QoS, can alleviate the bottleneck congestion, can achieve better the whole utility of a variety of services on some high-bandwidth wireless access points combined with fully-coverage small-bandwidth cellular networks in DTN network.With the pre-condition of path predictability, a dual-Ferry k-anycast routing algorithm was designed. Generalized k-anycast was proposed for concurrent traffic. According to access router information matrix, router candidates aggregate were decided; according to the utility maximization model, k-anycast bandwidth and time connecting was decided, to various routers for custom transfer. Connectivity logic was designed to distinguish routing circumstance. For in-vehicle network Internet access, ferries are access routers. For information isolated island from Internet, ferries are DTN gateway in-vehicle. Both ferry algorithms get little call block rate and improve access network efficiency. Finally station-planning model was designed from the standpoint of optimal routing and resource management.According Pareto distribution of mobile communication traffic concentration of correspond nodes, address book informing (ABI) policy was designed to achieve the pre-context handover and to improve the efficiency of IP layer QoS routing. It was proved that routing overhead of ABI is decreased and signaling overhead can be neglect. Introducing road traffic data to improve forecast accuracy, it was found that forecast accuracy associated with the MN speed and time ahead. Finally ABI formalization modeling was built on Pi calculus, its process interaction analysis with Automated Proving tool MWB proved its self-consistent and its compatibility with MIPv6.
Keywords/Search Tags:Mobile Internet access, Disruption tolerated network, Utility function, QoS, Pi calculus
PDF Full Text Request
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