Opportunity-type data transmission method based on multiple behavior sites

A data transmission method and location technology, applied in the intersection of opportunity network and social network, to achieve the effect of ensuring real-time performance, improving the success rate of data transmission, and reducing the energy consumption of transmission
CN104954986AActive Publication Date: 2015-09-30NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF POSTS & TELECOMM
Publication Date
2015-09-30

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Abstract

The invention provides an opportunity-type data transmission method based on multiple behavior sites, aiming to solve the problem of incapability of accurately sending data to attribute users of the behavior sites. According to the method, the user performs site behavior registration on a cloud server, the cloud server stores a user / behavior site combined matrix, and a server updates the matrix timely and returns a newest time slice vector to the user. A source user starts a data forwarding process after applying data from the cloud server. In the process of data forwarding, a circuit is initiated and messages are transmitted to the attribute users of h different behavior sites, wherein the h refers to the number of the sites. In the progressive gradient increase stage of forwarding, the messages are forwarded to intention receivers of the behavior sites layer by layer. The data are sent to the intention receivers of all the surrounding behavior sites in a multicast mode. The data are forwarded to the users of the behavior sites by taking user behavior attribute weights as forwarding conditions, so that data transmission rate is improved effectively and energy consumption is lowered.
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Description

technical field

[0001] The invention proposes an opportunistic data transmission method based on multi-behavior locations, which belongs to the intersecting fields of opportunistic networks and social networks. Background technique

[0002] At present, there are some shortcomings in traditional sensor networks: (1) A large number of sensing devices need to be manually pre-deployed, which is not only expensive, but also increases the complexity of the system with the expansion of scale. (2) Static deployment of sensing devices is generally not densely deployed, making the perception perspective single and unable to perceive objects in an all-round way. (3) Forwarding data according to the node ID is not suitable for highly dynamic mobile network scenarios, nor can it be applied to networks with specific interest preferences.

[0003] With the development of technology, a large number of mobile smart devices with rich sensors have emerged. As a next-generation sensing technol...

Claims

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