Micropower wireless network communication method based on biological fission algorithm

Abstract

A micropower wireless network communication method based on a biological fission algorithm belongs to the technical field of communication, is realized based on a low-voltage meter reading system, and comprises a networking step and a communication step. The communication method comprises the following steps: 1) setting the concentrator as a starting point; 2) calculating the correlation degree and the average correlation degree between all user electricity meters which are not networked and the starting point; 3) establishing a local area network taking the starting point as a summarizing node by the user electricity meters of which the correlation degree is greater than the average correlation degree; 4) selecting a user electric meter which is not a summarizing node in the established local area network as a starting point; 5) repeating the steps 2)-4) until the quantity of electricity of the non-networking users is less than P% of the total quantity, and 6) merging the residual electricity meters of the non-networking users into the local area network established for the last time. According to the method, the ad hoc network is quickly and accurately realized, the loss rate and waiting time delay of the message are reduced, the micropower transmission efficiency is improved, and the stability and reliability of data transmission are ensured.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a micro-power wireless network communication method based on a biological fission algorithm. Background technique [0002] Micro-power wireless network communication technology has the advantages of low power and low cost of construction, and has the fastest development and widest application in the field of information and communication technology. At present, traditional wireless cellular communication networks require the support of fixed network equipment (such as base stations) for data forwarding and user service control; in actual use, traditional wireless cellular communication networks are vulnerable to the geographical limitations of fixed network equipment. External interference has the characteristics of slow networking efficiency, packet loss and delay, and low communication stability and reliability. [0003] In view of the above problems, there i...

AI Technical Summary

Problems solved by technology

At present, the traditional wireless cellular communication network requires the support of fixed network equipment (such as base stations) to forward data and control user services; in actual use, due to the geographical limitations of fixed network equipment, traditional wireless cellular communication networks are vulnerable to External interference, low networking efficiency, packet loss and delay, low communication stability and reliability

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