Dynamic cluster radius-based non-uniform clustering method for wireless sensor network

Abstract

The invention discloses a dynamic cluster radius-based non-uniform clustering method for a wireless sensor network. The wireless sensor network comprises a base station and a plurality of sensor nodes, wherein the base station is fixedly located in a network center and can collect data of the whole network sensor through a multi-hop routing transmission method, and the data comprises the collected data and electric quantity information of the base station. The sensor nodes are randomly deployed on the wireless sensor network to monitor the surrounding environment, and data are transmitted among the sensor nodes through routing, so that different nodes have different energy consumption rates. According to the method, the defects in the prior art are overcome, and the cluster radius can be automatically changed along with the operation of the network, namely, the cluster radius of the cluster head with more residual energy is increased, more loads are actively borne, and tasks are shared for other cluster heads; the cluster radius of the cluster head with small residual energy is reduced, and some loads are reduced to save energy, so that the purpose of better uniformizing the energy consumption of the network is achieved.

Description

technical field [0001] The invention relates to a non-uniform clustering method based on a dynamic cluster radius of a wireless sensor network, which can be used in the technical field of wireless sensing. Background technique [0002] Wireless sensor network (WSN) is composed of a large number of nodes, deployed in specific areas according to application requirements, and self-organized to form an intelligent network for collecting, transmitting and processing data. It changes the way humans connect with objects. It has played a huge role in medical treatment, military prevention, and industrial production. The energy of WSN is limited and not easy to replenish, so energy plays a very important role in WSN, and energy consumption is also an important indicator to measure the quality of WSN. The energy consumption of nodes is related to the distribution of hardware devices, communication quality, and application tasks that the network needs to complete. The unbalanced distr...

AI Technical Summary

Problems solved by technology

However, this algorithm has the following disadvantages: (1) The selection of cluster heads only considers energy factors, and does not consider the correlation between node spatial positions, which will cause uneven distribution of cluster head nodes; (2) The cluster radius of non-uniform clustering is fixed, With the continuous operation of the algorithm, if the cluster radius remains unchanged, the cluster heads with a large burden will continue to bear too many forwarding tasks, which accelerates the death time of these cluster heads

However, during the operation of the method, the unbalanced load of the cluster heads will make the energy consumption of the cluster heads unbalanced.

If the size of the cluster is kept constant, that is, the radius of the cluster is not changed, the cluster heads with a large burden will continue to undertake too many forwarding tasks, which accelerates the death of these cluster heads, thus restricting the working time of the network

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