Energy acquisition type wireless sensor network monitoring frequency maximization method

Abstract

The invention discloses an energy acquisition type wireless sensor network monitoring frequency maximization method, comprising the following steps: setting up a virtual source node, establishing a connection relationship between the virtual source node and a monitored target node, predicting the energy acquired by monitoring nodes according to an exponentially weighted moving average process, and setting link weights between monitoring network nodes based on energy acquisition; performing monitoring network topology decomposition, performing topology decomposition by adopting a node splitting operation, and establishing a decomposed monitoring network; sequentially calculating maximum energy flow paths from the virtual source node to receiving nodes according to the decomposed monitoring network, performing reverse operation on each path, and subtracting energy values required for the monitoring of the nodes on the paths; updating the link weights of the monitoring network; repeating the above calculations until no maximum energy flow exists; and calculating the number of maximum energy paths to obtain the target monitoring frequency. According to the method disclosed by the invention, the network monitoring frequency and energy utilization performance can be improved, the maximization of the monitoring frequency can be achieved, and the throughput of the monitoring network also can be effectively improved.

Description

technical field [0001] The invention relates to a method for maximizing the monitoring frequency of an energy harvesting wireless sensor network. Background technique [0002] With the development of wireless sensor network technology, scholars at home and abroad have carried out research on the application of wireless sensor network in the fields of ecological environment monitoring, industry and agriculture, and natural disasters. In these application areas, wireless sensor networks need to coordinate the monitoring of sensor nodes, receive and process the monitoring information. However, sensing is based on battery-powered wireless sensor networks. Due to the low cost and energy constraints of wireless sensor networks, the current monitoring performance cannot be effectively improved. In recent years, scholars at home and abroad have successively developed various wireless sensor energy harvesting technologies. With the emergence of this external environment energy harve...

AI Technical Summary

Problems solved by technology

At the same time, new problems have also emerged in the current energy-harvesting sensor network. This problem is based on the current battery-powered sensor network, the monitoring utility, monitoring coverage, node positioning, data transmission technology and protocol, and data collection technology. are not suitable for this kind of energy harvesting sensor network

At present, the most basic problem facing ecological environment monitoring is how to improve the monitoring perception utility under the condition that the monitoring node is connected and covers the monitored point, that is, how to solve the monitoring utility problem of the energy dynamic acquisition wireless sensor network based on the connectivity and coverage constraints.

[0003] However, at present, for the problem of monitoring utility, the problem of energy limitation is first considered, that is, the research is carried out around prolonging the life of monitoring nodes; secondly, when considering the coverage of monitoring nodes, intelligent optimization algorithms (such as genetic algorithm, particle swarm algorithm and other evolutionary algorithms) are also used. Algorithm) to optimize the transmission power of each monitoring node, to minimize the energy consumption of the monitoring nodes and prolong the life of the monitoring nodes under the condition of satisfying the monitoring coverage, so these studies are not suitable for the application field of long-term continuous monitoring

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