Train group control method and device based on ad hoc network
An ad hoc network and network control model technology, applied in the field of ad hoc networks, can solve problems such as being unable to form a formation by itself, and achieve the effects of easy and effective monitoring, ensuring efficiency, and fair control efficiency
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Embodiment 1
[0035] Such as figure 1 Shown, based on the train group control method of ad hoc network, described method carries out the following steps:
[0036] Step 1: Treat the train track as a network link and construct a train ad hoc network; regard the train as a transmission information flow with fixed length, speed and acceleration on the network link, and number each information flow;
[0037] Step 2: Randomly set a plurality of information nodes on the network link in the train ad hoc network;
[0038] Step 3: Obtain the number, fixed length, speed and acceleration of each information flow in the train ad hoc network in real time;
[0039] Step 4: count the number of information flows passing through the information node per unit time, as the flow of the information node, and record the number of the information flow of the resulting information node;
[0040] Step 5: Randomly group the information nodes in the network link to obtain multiple random information node groups; eac...
Embodiment 2
[0044] On the basis of the previous embodiment, in step 5, the information nodes in the network link are randomly grouped, and the method for obtaining multiple random information node groups includes: obtaining information nodes of multiple preset groups in the network link The data information of the information node, wherein the data information of the information node includes: at least one control factor and the number of currently grouped information nodes under the multiple horizontal parameter categories corresponding to each of the control factors; grouping the number of information nodes, constructing a first parameter matrix; obtaining basic information of information nodes, and sequentially classifying said information nodes into corresponding horizontal parameter categories in each said preset grouping according to said basic information; According to the number of currently grouped information nodes under each of the horizontal parameter categories after adding th...
Embodiment 3
[0050] On the basis of the previous embodiment, according to the basic information, classifying the information nodes into the horizontal parameter category corresponding to the preset group includes: obtaining from the basic information the information related to each Each horizontal parameter value corresponding to the horizontal parameter category; according to the preset division conditions of each horizontal parameter category, determine each of the horizontal parameter categories corresponding to each of the horizontal parameter values; divide the information node into a category that satisfies In each of the horizontal parameter categories of the preset division condition.
[0051] specific,
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