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Multi-objective optimization data transmission method based on mobile node locus

A multi-objective optimization, mobile node technology, applied in wireless communication, network topology, electrical components, etc., can solve the problems of not making full use of traffic statistics, failing to take into account multiple indicators of data transmission, and ignoring network overhead.

Active Publication Date: 2014-07-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

2) Due to the high dynamics of mobile entities, the optimal data transmission path may be constantly changing. How to use existing information and equipment to make better routing selection is also a key issue
However, some current methods cannot make full use of traffic statistics and vehicle trajectory information, and none of the existing methods can take into account multiple indicators of data transmission.
Most of the methods only optimize the delivery delay and ignore the network overhead, while some methods only focus on the network overhead

Method used

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  • Multi-objective optimization data transmission method based on mobile node locus
  • Multi-objective optimization data transmission method based on mobile node locus
  • Multi-objective optimization data transmission method based on mobile node locus

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Embodiment 1

[0038] Attached below figure 1 The implementation of the method of the present invention in a real vehicle self-organizing network, that is, the environment of the Internet of Vehicles, will be described in detail.

[0039] A kind of multi-objective optimization data transfer method based on mobile node track, the concrete implementation steps of the method of the present invention are as follows:

[0040] Step 1. Map the data transfer problem into a Markov decision process, which includes the following steps:

[0041] Step 1, build a real road network model:

[0042] Such as figure 2 As shown, the road network is modeled as a directed graph, that is, G=(I, E), where i∈I represents the intersection i, e ij ∈E represents the road segment from intersection i to its neighbor intersection j.

[0043] Step 2, according to the characteristics of the self-organizing network, select the model that the mobile node should follow when driving on the road segment in the road network,...

Embodiment 2

[0100] In addition, we adapted the method described in the present invention into a vehicle-to-roadside base station (AP) method, that is, TMODF for v21, and compared it with the existing method - the vehicle-to-AP data transfer method OVDF.

[0101] Since the roadside base station is placed at the intersection, it is static. As a destination delivery node, compared with before the adaptation, the difference is that there is no need to have the process of predicting the destination delivery intersection and the prediction error recovery process of the forwarding process. Other processes are consistent with each step of the original technical scheme. If we set the number of APs to be 3, then when the Markov decision process iterates, D 0 , F 0 The setting of the initial value is to directly set the initial value of the three intersections where the AP is located to a negative value, and then iteratively solve the optimal decision.

[0102] The above-mentioned method of the p...

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Abstract

The invention relates to a multi-objective optimization data transmission method based on a mobile node locus. According to the method, movement statistical information of mobile nodes and locus information of a large number of real mobile nodes are used for obtaining auxiliary data and transmitting corresponding data, a transmission problem of data packages is mapped to be the multi-objective Markov decision-making process, the Markov decision-making process is solved, so that objective functions of multiple route indexes are optimized, finally the data packages are transmitted according to the optimal forwarding policy obtained through a solution, and therefore an efficient wireless self-organizing network data transmission method from the mobile nodes to the mobile nodes is achieved, wherein the method is also suitable for data transmission from the mobile nodes to a base station and from the base station to the mobile nodes. According to the multi-objective optimization data transmission method, application modes and fields are wide, multiple data transmission indexes are optimized, so that the delivery rate is increased, the data transmission efficiency is improved, the data transmission error rate and consumed network resources are reduced, and therefore the better communication effect is achieved.

Description

technical field [0001] The invention relates to a multi-objective optimization data transfer method, in particular to a multi-objective optimization data transfer method based on mobile node trajectories, and belongs to the field of wireless mobile self-organizing networks. Background technique [0002] In recent years, the data transmission method of mobile nodes has been widely used in satellite communication, Internet of Vehicles, traffic accident warning, assisted driving, and information sharing between passengers. The wireless mobile ad hoc network is a network composed of mobile communication devices equipped with sensor devices, mobile entities as network nodes, and may also include some non-mobile infrastructure (such as roadside units, or RSUs). [0003] Due to the difference between wireless mobile ad hoc networks and traditional wireless networks, many data transfer methods in traditional wireless networks cannot be directly applied to wireless mobile ad hoc netw...

Claims

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Application Information

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IPC IPC(8): H04W40/04H04W84/18
Inventor 礼欣付茂才
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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