Self-organizing network unicast method with combination of cognitive network coding and routing based on cognition

Abstract

The invention discloses a self-organizing network unicast method with combination of cognitive network coding and routing based on cognition. The method comprises the following steps: each node in a self-organizing network periodically sends a parameter state frame to carry out topology discovery and parameter perception, and determines butterfly topology and a key node; the key node respectively calculates an end-to-end time delay estimated value of a route unicast strategy and a network coding unicast strategy; the key nodes compares the end-to-end time delay estimated values of the above two unicast strategies, selects an unicast strategy with a smaller estimated value, and notifies the selected unicast strategy to a top node and a bottom node in the butterfly topology; the key node, the top node and the bottom node employ the selected unicast strategy to complete grouping transmission together. According to the invention, end-to-end time delay is reduced, respective advantages of the network coding and routing are effectively utilized, bearing capability of the self-organizing network to a unicast service is raised, and the method can be used in a unicast scene data transmission process with the butterfly topology in a wireless self-organizing network.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a unicast method combining cognition-based network coding and routing, which is applied to the unicast scene data transmission process of a wireless self-organizing network with a butterfly topology. Background technique [0002] Network coding is a new type of data transmission scheme, which was first proposed by R.Ahlswede et al. in 2000. Its core idea is to allow intermediate nodes to encode information from different links, such as XOR or linear combination, and then send go out. It overturns the traditional view that processing received data at intermediate nodes does not bring any benefits, thus bringing a fundamental change to network communication. The main advantage of network coding is to reduce the number of data transmissions by increasing the amount of single-transmission information, thereby improving the throughput of the network; at the same time, due to the...

AI Technical Summary

Problems solved by technology

[0008] First, the existing data unicast schemes based on network coding cannot adapt to the random variation of interarrival time intervals in ad hoc networks

The node does not perform network coding until the multiple services participating in the coding arrive. When the time interval between the arrival of multiple services is large, the node waits for a long time and the end-to-end delay is large, which leads to network throughput. Therefore, the performance of the network coding scheme also declines rapidly. In this case, the performance of the routing unicast scheme is better than that of the network coding scheme.

[0009] Second, the existing scheme does not consider the impact of wireless link transmission errors on the destination node decoding

When using the network coding unicast scheme, a link transmission error will affect the successful decoding of multiple destination nodes, so when the link error probability is high, it is not suitable to use the network coding scheme to transmit data

[0010] Third, the existing schemes do not consider the dynamic changes of the self-organizing network topology

When the network scale is large or the topology changes frequently, the overhead for obtaining self-organizing network topology information is relatively large

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