DTN network routing optimization method based on neural network
An optimization method and technology of fuzzy neural network, applied in the field of DTN network routing optimization based on neural network, can solve the problem of low efficiency of routing algorithm packet forwarding strategy, and achieve the effect of reinforcement learning, strong practicability, and improved efficiency
Pending Publication Date: 2020-08-11
黄东
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[0004] In view of this, the present invention provides a DTN network routing optimization method based on improved fuzzy neural network, the purpose is to solve the problem of low efficiency of routing algorithm packet forwarding strategy in the prior art
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[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0025] The embodiment of the present invention discloses a DTN network routing optimization method based on an improved fuzzy neural network, comprising the following steps:
[0026] S1. Using multi-dimensional components to describe the connection characteristics between nodes in the DTN network, collecting dynamic information of the multi-dimensional components of the current node and the target node in the DTN network;
[0027] S2. Input the collected dynam...
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The invention discloses a DTN network routing optimization method based on an improved fuzzy neural network, and the method comprises the following steps: S1, describing the connection characteristicsof all nodes in a DTN network through employing multi-dimensional components, and collecting the dynamic information of the multi-dimensional components of a current node and a target node in the DTNnetwork; S2, sequentially inputting the collected dynamic information into a trained improved fuzzy neural network, and obtaining the success probability of each path from the current node to the target node; S3, comparing the success probabilities, and selecting the path with the high success probability as the optimal route. According to the invention, the improved fuzzy neural network is adopted to realize the intellectualization of routing decision; the route is selected according to the forwarding success probability of the current node and the target node on different routes, the routeselection efficiency is effectively improved, and the improved fuzzy neural network has a reinforcement learning function, so the method can adapt to the topological change of the DTN, and has extremely high practicability.
Description
technical field [0001] The present invention relates to the technical field of DTN network, more specifically relates to a kind of DTN network routing optimization method based on neural network. Background technique [0002] DTN network (delay tolerant network) is a new type of wireless network architecture, which includes a variety of comprehensive concepts of traditional network forms. It is difficult to effectively solve the routing problem of the network in all states by a single routing algorithm. All routing algorithms have the characteristics of low efficiency of packet forwarding strategy. [0003] Therefore, it is an urgent problem for those skilled in the art to provide a neural network-based DTN network routing optimization method. Contents of the invention [0004] In view of this, the present invention provides a DTN network routing optimization method based on an improved fuzzy neural network, aiming at solving the problem of low efficiency of routing algor...
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IPC IPC(8): H04W40/04H04W40/24G06N3/04
CPCH04W40/04H04W40/248G06N3/043
Inventor 黄东秦小林刘竟成林小光彭泳亲陈震宇杨涌杨治明黄海松江勇赵向前赵梓妍王颜龄蒋铮吴健杨润宗
Owner 黄东