An energy-efficient clustering method for wireless sensor networks in multi-objective scenarios

Abstract

The invention discloses a wireless sensor network energy-saving clustering method under a multi-target condition. The method is characterized in that, in a cluster generation stage, through a target-associated cluster generation method, nodes associated with a target can be screened or added to a cluster, and the nodes having lower energy are eliminated, thereby ensuring network fusion precision and network service life; in the cluster head election stage, a cluster head node can ensure that the total communication consumption in the cluster is optimal, and meanwhile, a single node is prevented from being a cluster head of a plurality of clusters and the problem that some nodes die quickly due to overload is prevented; and finally, in the topology cutting stage, the network service life is ensured by balancing communication and connection number of the nodes, and meanwhile, influence on the fusion precision is considered in topology cutting, so that precision loss can be reduced as much as possible.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks and multi-source information fusion, and in particular relates to an energy-saving clustering method for wireless sensor networks in a multi-target scenario, which is widely used in multi-agent distributed collaboration. Background technique [0002] In recent years, multi-source information fusion technology has been widely used in target-aware wireless sensor networks. At the same time, in practical applications, considering the limitations of node energy, transmission bandwidth and computing resources in wireless sensor networks, relevant scholars have proposed a series of methods to optimize the energy consumption of sensor networks, so as to prolong the life of the network and obtain better practical performance. The purpose of applying the effect. [0003] In wireless sensor networks, clustering algorithm is a commonly used and effective network energy optimization method. ...

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Problems solved by technology

[0004] However, although existing clustering methods can effectively improve the performance of wireless sensor networks, most of the current clustering methods are for single-objective problems, and few network clustering methods are designed for multi-objective scenarios.

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