Wireless rechargeable sensor network optimization method based on memetic algorithm

Abstract

The invention discloses a wireless rechargeable sensor network optimization method based on a memetic algorithm. The problem that the wireless rechargeable sensor network is low in network optimization speed and not ideal in optimization effect is mainly solved. The method includes 1) constructing a wireless rechargeable sensor network; 2) setting memetic algorithm parameters; 3) coding each individual in the population by adopting a direct coding mode; 4) performing cross operation and variation operation on the population; 5) selecting an optimal individual group from the variation population; 6) carrying out the redundant detection and hole detection on the optimal individual group; 7) selecting an optimal individual and charging the optimal individual; 8) determining whether the circulation algebra of the current memetic algorithm reaches the maximum number of iterations or not, if yes, executing the step 9; otherwise, adding 1 to the circulation algebra of the memetic algorithm, and returning to the step 4 ); and 9) outputting the service life of the wireless rechargeable sensor network. According to the invention, the optimization speed of the wireless rechargeable sensor network is increased, and the service life of the network is effectively prolonged.

Description

technical field [0001] The present invention belongs to the field of communication technology, and further relates to the optimization of wireless rechargeable sensor networks, specifically a method for optimizing wireless rechargeable sensor networks based on dense mother algorithms. The present invention can be used to optimize the distribution of wireless sensors in wireless rechargeable sensor networks And the way of energy supply to maximize the working life of the entire sensor network. Background technique [0002] With the major breakthrough of wireless energy transmission technology, wireless rechargeable sensor network has entered into social life. Wireless charging technology originates from wireless power transmission technology, which refers to the technology of transferring power from one device to another through electromagnetic radiation, electromagnetic induction, and electromagnetic resonance. Since energy is transmitted between the charger and the electri...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, and provide a wireless rechargeable sensor network life optimization method based on the secret algorithm, which solves the problems of slow optimization speed and unsatisfactory optimization effect of the wireless rechargeable sensor network, thereby maximizing Maximizing the Lifespan of Wireless Rechargeable Sensor Networks

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