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Clustering method and system for wireless sensor network based on energy self-inductance threshold

A wireless sensor network and energy technology, applied in network topology, wireless communication, energy reduction and other directions, can solve problems such as uneven distribution, performance degradation, sensor network data transmission jitter, etc., to achieve the effect of stable transmission

Active Publication Date: 2019-04-12
LUSHAN COLLEGE OF GUANGXI UNIV OF SCI & TECH
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Problems solved by technology

[0007] In view of the above defects or improvement needs of the prior art, the present invention provides a wireless sensor network clustering method and system based on energy self-inductance threshold, the purpose of which is to optimize the selection of cluster head nodes and solve And when the distribution is unbalanced, the sensor network data transmission jitter is serious, and the technical problem of performance degradation

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  • Clustering method and system for wireless sensor network based on energy self-inductance threshold
  • Clustering method and system for wireless sensor network based on energy self-inductance threshold
  • Clustering method and system for wireless sensor network based on energy self-inductance threshold

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[0045] In this embodiment, intra-cluster optimized transmission is realized by segmenting and optimizing network flow resources, and at the same time, an inter-cluster route optimization mechanism is adopted for the problem of inter-cluster area path jitter, so as to finally achieve the goal of path stability. The whole algorithm consists of two processes: region shaping based on self-inductance threshold and inter-cluster shunt optimization.

[0046] 1. Region shaping based on self-inductance threshold

[0047] When the sensor network starts to operate, the node (UH node) that undertakes the data upload task sends its own precise clock information (Timer) in the form of broadcast. After receiving the Timer packet message, node i communicates with the UH node according to its own position coordinates. Carry out distance calculation and get the nearest node as the cluster head node (CH node). After determining the cluster area to which it belongs, node i marks itself as a clus...

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Abstract

The present invention relates to a wireless sensor network clustering method and system, and particularly relates to an energy self-inductance threshold-based wireless sensor network clustering method and system. According to the present invention, a self-inductance threshold is calculated through an adaptive recursion manner of energy consumption in a region, and region structure updating is completed by using a method of considering both a preferred coefficient and a polling time, so that performance of a cluster head (CH) node is ensured to be optimal, and sensing data is transmitted steadily in a cluster region.

Description

technical field [0001] The invention relates to a wireless sensor network clustering method and system, in particular to a wireless sensor network clustering method and system based on an energy self-inductance threshold. Background technique [0002] The wireless sensor network is networked through a large number of cheap sensor nodes, which can effectively improve the degree of intelligence in industrial production and other processes. However, due to the energy-constrained characteristics of sensor nodes, once the battery is exhausted, the control and aggregation will be blocked due to the severe jitter of the aggregation channel. [0003] In order to solve the problem that objectively existing data in the current wireless sensor network technology is difficult to transmit and converge stably, the existing technology proposes corresponding data transmission methods: [0004] For example, Akyildiz et al. proposed an adaptive balance method (HDA method) based on an improve...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/10H04W40/14H04W40/32H04W84/18
CPCH04W40/10H04W40/14H04W40/32H04W84/18Y02D30/70
Inventor 胡艳华韦灵倪志平黎伟强
Owner LUSHAN COLLEGE OF GUANGXI UNIV OF SCI & TECH