Energy management method based on energy acquisition wireless sensor network

Abstract

The invention relates to an energy management method based on an energy acquisition wireless sensor network. A tolerance correction network maximum flow FF algorithm is combined, network flow link augmentation is performed on a data transmission quantity, a tolerance factor is introduced into an election mechanism of cluster heads at the same time, and augmented links are guaranteed to have sufficient capacities, that is to say, a channel band width can guarantee to available for data flow transmission. Innovation points of the energy management method, provided by the invention, based on the energy acquisition wireless sensor network are in that related theory knowledge and principles of network flow optimization are combined, corresponding working modes of sensor nodes are designed according to a set specific solar acquisition model, and network performance is optimized on a data flow aspect in the whole wireless sensor network energy sufficient period. Network energy consumption balance can be achieved, the life cycle of a network is guaranteed, an environment energy can be efficiently used at the same time, and network performance is improved.

Description

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AI Technical Summary

Benefits of technology

The invention relates to improving communication networks by expanding their connections based upon certain factors such as minimum flow or priority levels. This helps improve overall performance while ensuring adequate resources are being used effectively through these links.

Problems solved by technology

This patented technical solution described in this patents relates to improving the lifespan of sensors that use wireless sensor networking technologies. Traditional methods involve replacing the batterels every few hours at regular intervals until they last longer. By doing so, there may be significant wasteful effort and materials resource usage due to frequent replacement of batteries. To address this issue, some solutions proposed include periodically operating modes where each sensor node operates without being fully charged up, allowing them to continuously gather and transmit data during certain periods while reducing energy wasted. Additionally, devices called miniature electronic systems (MEMS), like those made possible thanks to advancements in semiconductor manufacturing processes, could also benefit from energy savings techniques.

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