Wireless sensor network data fusion method of hybrid time delay sensitive clustering

Abstract

The invention discloses a wireless sensor network data fusion method of hybrid time delay sensitive clustering. According to the wireless sensor network data fusion method, sensor nodes form a cluster structure with the quantity presenting exponential growth through an energy-efficient clustering algorithm, and cluster head nodes conduct fusion processing on received data by setting a fusion rate, and then transmit to sink through a TDMA mode. In the algorithm, the cluster heads and cluster members have two modes of connection: single layer connection and multilayer connection. A decision function is put forward, weighted comparison is conducted on the corresponding time delays and energy consumptions of the single-layer and multilayered models, and the clustering mode of each cluster is decided, thereby achieving the optimal compromised processing of time delays and energy consumptions. In the clustering stage, the node density and physical position are considered in the energy-efficient clustering algorithm, a cost function is constructed and the node with the minimal cost value is selected to become the cluster head, thereby achieving the purpose of shortening the communication distance. After a network operates for a period of time, for equalizing the energy consumption and load of the nodes, an algorithm is selected through dynamic cluster heads in the cluster and a benefit function is constructed for selecting a new cluster head.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a technical method for constructing a delay-sensitive routing algorithm of a wireless sensor network. Background technique [0002] Since wireless sensor networks (WSNs) are usually deployed in unattended environments, it is almost impossible to replace the batteries of sensor nodes when they run out of energy. Therefore, how to implement complex data monitoring and information reporting on sensor nodes with limited energy is the primary problem to be solved in WSNs. It has been proved that the transmission energy consumption between sensor nodes is much higher than the calculation energy consumption within the node. Therefore, it is very important to propose a method to reduce the amount of data transmission between sensor nodes and thereby reduce the energy consumption of the network. Sensor network data fusion (data fusion) technology can well so...

AI Technical Summary

Problems solved by technology

However, most of the algorithm network models are fixed, and cannot be adaptively adjusted for different fusion rates, lacking universal applicability

At the same time, the reduction in latency is often at the expense of energy consumption, which makes many networks perform poorly in terms of energy saving

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