An error control method for energy capture electromagnetic nano-network

Abstract

The invention relates to an error control method for energy capture electromagnetic nano-network. The current energy of the node is judged before each packet is sent, packet transmission is permittedwhen the energy is greater than or equal to a set detection mode energy threshold, a test packet is sent before each data packet is sent to detect that current channel condition, the channel conditionis judged according to the feedback information of the test packet received by the sending end, the channel detection is continued or the data packet is started to be sent, and after the data packetis sent, the data transmission is judged whether the data transmission is successfully received or needs to be retransmitted according to the feedback information. In this invention, the size of the tpacket is far smaller than that of the data packet, when the channel condition is poor, whether the data packet is sent or not is judged after the channel detection by the test packet, so that the utilization efficiency of node energy and the probability of the data packet successful transmission can be improved, the life cycle of the network can be prolonged, the information redundancy is low, the encoding and decoding efficiency is high, and the implementation complexity is low.

Description

technical field [0001] The invention relates to the technical field of communication technology and error control, in particular to an error control method oriented to energy harvesting electromagnetic nanometer network. Background technique [0002] The electromagnetic nano network is a network composed of many tiny communication devices at the nanometer or micrometer level. [0003] Nanotechnology provides the engineering community with a new set of tools for designing and fabricating novel devices that are only a few hundred nanometers in size. These nanodevices can only perform some simple operations, such as data storage, communication, and computing. Integrating several nanodevices into one entity, advanced nanomachines can be fabricated, and since the size of a single nanomachine is only about a few cubic microns, it has the potential to be applied in many fields, such as drug delivery systems in the medical field and cancer detection, air pollution control and biode...

AI Technical Summary

Problems solved by technology

After comprehensively considering the characteristics of nano-networks and terahertz frequency bands, it can be seen that traditional error control methods are not suitable to be directly applied to electromagnetic nano-networks based on energy harvesting.

In addition, they did not study and capture the dynamic change behavior of the energy state of nodes with the data transmission process and energy capture process, and the impact of energy changes on the performance of the entire network (delay, throughput, etc.)

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