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Data transmission method under opportunity network

A data transmission method and network technology, applied to the data transmission under the opportunistic network, the field of data transmission, can solve the problems that cannot be effectively used in practice, and do not comprehensively consider the social attributes of users, so as to improve efficiency and success rate, Good data distribution and less algorithm consumption

Inactive Publication Date: 2013-06-26
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to avoid the deficiencies of the existing technology, the present invention proposes a data transmission method under an opportunistic network. Aiming at the problem that the traditional method

Method used

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Embodiment Construction

[0022] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0023] An application scenario of an opportunistic network data transmission method proposed by the present invention is an opportunistic network composed of portable devices with wireless communication functions carried by people, such as mobile phones and notebooks. On a university campus, every student and teacher with a mobile phone or laptop can be regarded as a node, and they will move between dormitories, classrooms, restaurants, laboratories, supermarkets, etc. every day. This type of network has social network Some properties of : some nodes are highly active, the number of encounters between some nodes is frequent, and the movement of nodes is not completely random. This paper uses the RealityMining data set as the experimental object. In this data set, 94 people carry smartphones with Bluetooth interactive functions and some recording software pre-inst...

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Abstract

The invention relates to a data transmission method under an opportunity network. The method comprises the steps of according to historical interaction data of users, calculating to obtain social relations and activenesses of the users, and selecting a user with comparatively high activeness from familiar users as an agent for data transmission, so that not only is data transmission efficiency guaranteed, but also a comparatively high data transmission success rate is guaranteed. The data transmission method has the advantages and positive effects of effectively improving information transmission efficiency and success rate by selecting the user with comparatively high familiarity and activeness as an agent according to interaction histories of users,. In comparison with an algorithm based on a flooding strategy, the data transmission method is low in consumption, and is capable of effectively saving resource and energy. The method still has a comparatively high efficiency even for an unknown target and can better realize data distribution as well.

Description

technical field [0001] The invention belongs to the field of wireless communication and relates to a data transmission method, in particular to a data transmission method under an opportunistic network. Background technique [0002] Opportunistic network is a kind of wireless self-organizing network. There is no complete communication path between nodes, and communication is realized through the encounter opportunity formed by node movement. In this type of self-organizing network, data transmission usually adopts the "store-carry-forward" mode. Due to the sparse distribution or fast movement of mobile devices, as well as the energy consumption and resource constraints of nodes, traditional self-organizing communication methods cannot operate effectively. [0003] Opportunistic networks have many application scenarios, such as wildlife detection networks, self-organizing vehicle networks, and handheld device networking. Data transmission under opportunistic networks is a r...

Claims

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Application Information

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IPC IPC(8): H04W40/02H04W88/18
CPCY02D30/70
Inventor 杨志义郭斌李东生於志文周兴社倪红波
Owner NORTHWESTERN POLYTECHNICAL UNIV
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