An error control method for energy-harvesting electromagnetic nano-networks

Abstract

The invention relates to an error control method for an energy-harvesting electromagnetic nano-network. Before each data packet is sent, the current energy of a node is judged. When the energy is greater than or equal to the set detection mode energy threshold, the data packet is allowed to be sent. Before each data packet is sent, a test packet is sent to detect the current channel condition, and the channel condition is judged according to the test packet feedback information received by the sending end, and it is determined to continue channel detection or start sending a data packet, and after the data packet is sent, according to the feedback The information determines whether the data transmission is successfully received or needs to be retransmitted. In the present invention, since the size of the test packet is much smaller than the data packet, when the channel condition is poor, the test packet is used for channel detection and then it is judged whether to send the data packet, which can improve the utilization efficiency of the node energy and the probability of successful transmission of the data packet. The life cycle of the network is extended, 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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