An Opportunistic Network Data Transmission Method
A technology of network data transmission and opportunity, applied in the direction of digital transmission system, network planning, transmission system, etc., can solve the problem that the routing mode is difficult to obtain better performance, and achieve the effect of convenient transmission strategy, high-performance transmission, and stable topology structure.
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Embodiment 1
[0045] see figure 1 , an opportunistic network data transmission method, is a kind of opportunistic network composed of portable devices such as mobile phones, notebooks, tablet computers, etc. that people use or carry with wireless communication interfaces. This method can be applied to the following scenarios situation, the method of the present invention is applied to a scenario similar to the following scenario):
[0046] Location-Based Service: Using multiple mobile phones to form a network independently, the same environmental information (sound, image, etc.) can be sensed collaboratively from different angles, reducing the impact of environmental noise and improving the accuracy of positioning.
[0047] Media services: In many large-scale cultural and sports activities (live concerts, celebrations, sports events, etc.), the location of the user has a great influence on the viewing effect, and people sitting in the back row or corners will affect viewing due to limited v...
Embodiment 2
[0089] A kind of opportunistic network data transmission method, carries out data forwarding with Infocom 2006 data set as experimental object, specifically comprises the following steps:
[0090] Step 1: Obtain the key social characteristics of the nodes, and establish the weighted adjacency matrix of the network according to the obtained key social characteristics, specifically:
[0091] 1. Obtain key social characteristics of nodes: In the Infocom 2006 data set, 61 students and researchers participated in the conference, holding iMote devices with Bluetooth; from April 24 to 27, 2006, in Prince Barcelona, Spain The Sasofia Hotel obtained the data set by collecting the contact information between them. It contains two parts: the contact information between the participants and the social characteristics of the participants; 74981 connections;
[0092] Suppose there are n (n is 61) users in the network, and each user has m social features, expressed as f m , each feature ...
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