Wireless sensor network data fusion method of fusing time delay and survival time evenly

Abstract

A wireless sensor network data fusion method of fusing time delay and survival time evenly is characterized by firstly considering an actual factor that the event occurrence has the unpredictability in the wireless sensor network application, establishing a data fusion problem into a random optimization model taking the time-averaged network energy consumption minimization as the objective, then designing a strategy of real-timely selecting the nodes participating in the data fusion based on a Lyapunov optimization method, and establishing a trade-off relation between the network energy consumption and the maximum fusion time delay of various perceptual information, thereby achieving the purpose of fusing the time delay and the survival time evenly. The wireless sensor network data fusion method of fusing the time delay and the survival time evenly of the present invention is reasonable in model, is supported by the mathematical theory, can satisfy the different fusion time delay requirements of the different types of perceptual information, and can be applied to a wireless sensor network directly.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a wireless sensor network data fusion method that balances fusion delay and survival time. Background technique [0002] Wireless sensor networks (Wireless Sensor Networks, WSNs) are composed of a large number of cheap micro-sensor nodes deployed in the monitoring area, and form a multi-hop self-organizing network system through wireless communication. Has a wide range of applications. With the deepening of WSNs application research, more and more problems are exposed. Among them, one of the most obvious problems is that the massive sensing data generated by the large-scale WSNs system requires high network processing capabilities, which contradicts the essential characteristics of WSNs nodes such as energy, communication distance, and bandwidth constraints. In order to overcome this contradiction, scholars have introduced the data fusion technology that appear...

AI Technical Summary

Problems solved by technology

However, these research results did not consider the problem of data fusion delay

In fact, in WSNs with limited communication bandwidth resources, there is inevitably a delay in the process of transmitting sensing information from sensing nodes to fusion nodes, so how to meet the fusion delay requirements of different sensing information is a practical problem.

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