Energy consumption control method for wireless sensor network

Abstract

The invention provides an energy consumption control method for a wireless sensor network, through which the energy consumption of the wireless sensor network can be reduced. The method comprises thefollowing steps: carrying out global iteration, that is, initializing network weight evaluation; carrying out local iteration, that is, training an evaluation network self-adaptive dynamic planning, and carrying out selection according to a received system status vector so that the evaluation network can generate an output meeting the lowest performance indicator standards, wherein the evaluationnetwork is used for approximating the optimum system performance indication function, and a current control strategy is an initially determined optimum control strategy; judging whether the local iteration is completed or not; if the local iteration is completed, updating a performance indicator function according to a current output value of the evaluation network, updating the optimum control strategy according to the initially determined optimum control strategy, and judging whether the current global iteration is completed or not; and if the current global iteration is completed, setting the updated optimum control strategy as the optimum control strategy for the energy consumption of the wireless sensor network. The invention relates to the field of wireless communication.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method for controlling energy consumption of a wireless sensor network. Background technique [0002] As wireless sensor networks are more and more widely used in military, economic, social life and other aspects, the problem of energy consumption has become more and more prominent and has become a major problem restricting the wide application and development of wireless sensor networks. An effective way to solve this problem is to reasonably organize the state of nodes in the wireless sensor network, and let some nodes enter a low-energy sensing or sleep state, thereby reducing the energy consumption of the entire network and effectively prolonging the network life. This technology is called Node scheduling. [0003] Nowadays, wireless sensor networks are widely used in various fields in the world because they get rid of the connection restrictions and cost problems of ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a wireless sensor network energy consumption control method to solve the problem in the prior art that there is no effective control strategy to enable the wireless sensor system to achieve the best control effect

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