Seed node selection method for offloading cellular traffic through opportunistic mobile network

A mobile network, seed node technology, applied in wireless communication, electrical components, etc., can solve the problem of not considering the freshness of content

Active Publication Date: 2020-04-07
CHINA THREE GORGES UNIV
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  • Seed node selection method for offloading cellular traffic through opportunistic mobile network
  • Seed node selection method for offloading cellular traffic through opportunistic mobile network
  • Seed node selection method for offloading cellular traffic through opportunistic mobile network

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[0062] figure 1 An example of a data offload network scenario based on an opportunistic mobile network is given. A content is generated at time 0, and the content provider needs to distribute it to all nodes in the network within the lifetime of the content. At time 0, content is injected via the cellular interface into a fraction S ∈ V (initial seeds) of the network, which become active nodes. Then, when the active node comes into contact with the inactive node, the content is transmitted by means of opportunistic communication.

[0063] In the experimental evaluation, according to the optimization problem, the overall content utility value U(S) is used as the performance index. The proposed greedy and decay-based seed selection methods are compared with random seed selection methods, where the initial seed is chosen randomly. Next, Greedy is used to represent the greedy seed selection method, Decay is used to represent the decay-based seed selection method, and Random is ...

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Abstract

According to a seed node selection method for unloading the cellular traffic through the opportunistic mobile network, the cellular traffic is transmitted to some selected initial seeds in the mobilenetwork through the cellular network, and then free propagation is carried out in an opportunistic communication mode, so that all nodes in the mobile network can access the cellular network; an optimal number of initial seeds are found out on the basis of considering the cost of direct transmission through the cellular network and the freshness of the propagated content, so as to improve the utility value of the overall content to the maximum extent; a content utility value gain is defined, and an optimal copy number k of the content transmitted through the cellular network is calculated; based on a seed selection method, the optimal number of initial seeds is found, so that the overall content utility value of nodes in the network is maximized. According to the method, the freshness of the content and the transmission cost from the cellular network to the initial seeds are considered, and in order to solve the utility optimization problem, two seed selection methods are provided to find the optimal number of the initial seeds, so that the overall content utility value of the nodes in the network is maximized.

Description

technical field [0001] The invention proposes a seed node selection method for unloading cellular traffic through an opportunistic mobile network, and relates to the technical field of opportunistic mobile network communications. Background technique [0002] In recent years, with the rapid popularization of mobile devices, such as iPads, laptops, and smartphones, mobile Internet services are experiencing explosive growth and providing various applications, including video, audio, and images. Cellular networks are the most popular way to provide mobile internet service today, especially with the advent of 5G networks. However, the explosive growth of mobile services and user demand is likely to overload and congest cellular networks in the near future. Especially during peak hours or urban areas, mobile users may face extreme situations in terms of low network bandwidth, missed voice calls, poor signal coverage, etc. Therefore, there is an urgent need for mobile network op...

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Application Information

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IPC IPC(8): H04W40/04H04W40/12H04W40/22
CPCH04W40/04H04W40/12H04W40/22
Inventor 周欢张振宇吴桐陈鑫江恺
Owner CHINA THREE GORGES UNIV
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